How to search?
advanced search
Applied sciences

Bulletin of the Polish Academy of Sciences Technical Sciences

Bulletin of the Polish Academy of Sciences Technical Sciences

Description

The Bulletin of the Polish Academy of Sciences Technical Sciences has been published bimonthly by the Division IV Engineering Sciences of the Polish Academy of Sciences since the establishment of PAS in 1952. The journal is peer-reviewed and issued in electronic format. It aims to publish original, high-quality papers from multidisciplinary engineering sciences, with preferred topics including:

  • Artificial and Computational Intelligence,
  • Biomedical Engineering and Biotechnology,
  • Civil Engineering,
  • Control, Informatics and Robotics,
  • Electronics, Telecommunication and Optoelectronics,
  • Mechanical and Aeronautical Engineering, Thermodynamics,
  • Material Science and Nanotechnology,
  • Power Systems and Power Electronics.

Submit your article


Journal Metrics:
JCR Impact Factor 2024: 1.1
5 Year Impact Factor 2023: 1.0
CiteScore 2024: 2.7
SCImago Journal Rank (SJR) 2023: 0.271
Source Normalized Impact per Paper (SNIP) 2023: 0.517
Ministry of Education and Science: 100 points

Abbreviated title: Bull. Pol. Acad. Sci. Tech. Sci.
ISSN
ISSN 2300-1917

Editorial Board 2023-2025

Editor-in-Chief:

A. Rogalski, Military University of Technology

Honorary (Past) Editor-in Chief:

T. Kaczorek, Warsaw University of Technology

M.P. Kaźmierkowski, Warsaw University of Technology

Deputy Editor-in-Chief:

B. Błachowski, Institute of Fundamental Technological Research PAN

M. Mrozowski, Gdansk University of Technology

Board of Topical Co-editors:

Artificial and Computational Intelligence

B. Sawicki and S. Osowski, Warsaw University of Technology

Biomedical Engineering and Biotechnology

P. Ładyżyński, Institute of Biocybernetics and Biomedical Engineering PAN

Civil Engineering

L. Czarnecki, Building Research Institute, ITB, Warsaw

Ł. Sadowski, Wroclaw University of Science and Technology

Control, Robotics and Informatics

J. Klamka and A. Babiarz, Silesian Technical University

J. Stefanowski, Poznan University of Technology

Electronics, Telecommunication and Optoelectronics

M. Mrozowski, Gdansk University of Technology

P. Kryszkiewicz, Poznan University of Technology

Mechanical and Aeronautical Engineering, Thermodynamics

B. Błachowski, Institute of Fundamental Technological Research PAN

G. Zboiński, Institute of Fluid-Flow Machinery PAN and University of Warmia and Mazury in Olsztyn

Materials Science and Nanotechnology

P. Zięba and P. Czaja, Institute of Metallurgy and Materials Science PAN

Power Systems and Power Electronics

J. Rąbkowski and M. Jasiński, Warsaw University of Technology

International Editorial Advisory Board

R. Asthana, University of Wisconsin-Stout, Menomonie, USA

Xu Binshi, China Association of Plant Engineering, Beijing, P.R. China

F. Blaabjerg, Aalborg University, Denmark

C. Cecati, University of L’Aquila, Italy

A. Cichocki, RIKEN Institute, Tokyo, Japan

M. David, National Polytechnique de Toulouse, France

R. Ebner, Materials Centre Leoben, Leoben, Austria

E. Fornasini, University of Padova, Padova, Italy

L.G. Franquelo, University of Sevilla, Spain

M. Gad-el-Hak, Virginia Commonwealth University, Richmond, USA

M. Giersig, Free University of Berlin, Germany

D. van Gemert, Catholic University Leuven, KU Leuven, Belgium

L. Keviczky, Hungarian Academy of Sciences, Budapest, Hungary

V. Kučera, Czech Technical University in Prague, Prague, Czech Republic

R. Kennel, Technical University Munich, Germany

T.A. Kowalewski, Institute of Fundamental Technological Research PAN

E. Levi, Liverpool John Moore University, UK

G. Maier, Technical University of Milan, Milan, Italy

K.F. Man, City University of Hong Kong,

R. Maniewski, Institute of Biocybernetics and Biomedical Engineering PAN

H.A. Mang, Austrian Academy of Sciences, Vienna, Austria

H. Mihashi, Tohoku University, Aoba-ku, Sendai, Japan

S. Mindess, University of British Columbia, Vancouver, Canada

D.A. Mlynski, University of Karlsruhe, Karlsruhe, Germany

A.S. Nowak, University of Michigan, Ann Arbor, USA

K. Ohnishi, Keio University, Yokohama, Japan

A. Öberg, Linköping University, Linköping, Sweden

W. Pedrycz, University of Alberta, Canada

M. Razeghi, Northwestern University, Evanston, USA

J. Rodriguez, University of Andres Bello, Santiago, Chile

J.V. Sloten, Catholic University Leuven, Leuven, Belgium

B.M. Wilamowski, University of Auburn, Alabama, USA

A.L. Yarin, University of Illinois at Chicago, USA

Du Xiangwan, Chinese Academy of Engineering, China

J. Żurada, Department of Computer Engineering, University of Louisville, USA

Editorial Office:

Pałac Kultury i Nauki

Wydział IV Nauk Technicznych PAN

Pl. Defilad 1

PL 00-901 Warszawa

Managing Editor:

Renata Podraza, e-mail: Renata.Podraza@pan.pl

Finance:

Katarzyna Łasak, e-mail: Katarzyna.Lasak@pan.pl

The Bulletin of the Polish Academy of Sciences Technical Sciences is an open access journal with all content available with no charge in full text version.


The journal content is available under the licencse CC BY 4.0 https://creativecommons.org/licenses/by/4.0/.

  • Volumes
  • Instructions for authors
  • Additional info

Select number

Content

Bulletin of the Polish Academy of Sciences Technical Sciences | 2026 | 74 | 4

1 DouRD: enhancing DouDizhu AI with role-differentiated modeling
Yuezhonyi Sun , Shouzhen Zhang
Bulletin of the Polish Academy of Sciences Technical Sciences | 2026 | 74 | 4 | e158770 | DOI: 10.24425/bpasts.2026.158770
Keywords: attention mechanism deep Monte Carlo DouDizhou imperfect information game
Download PDF Download RIS Download Bibtex

Abstract

Imperfect information games impose greater demands on AI decision-making than perfect information settings, requiring models to infer hidden information, reason about opponent strategies, and dynamically optimize policies under uncertainty. In this study, we proposed a novel role-differentiated modeling approach within the deep Monte Carlo framework to enhance DouDizhu AI, the challenging three-player asymmetric imperfect information game. Our method incorporated attention mechanisms with role-specific adaptations to investigate their differential impacts on the landlord and peasant roles. Key findings demonstrate that: (1) the landlord and peasant roles require fundamentally distinct model architectures: experiments confirmed their functional independence; (2) attention mechanisms exhibit role-dependent effectiveness: CBAM significantly improved Peasant strategy execution, whereas SE and ECA offered moderate gains, while Self-Attention showed no enhancement; (3) surprisingly, applying attention mechanisms to the landlord role led to performance degradation, reinforcing the superiority of LSTM for this role. These results highlight the importance of role-aware architecture design in the imperfect information game setting, and challenge the universal applicability of attention mechanisms.
Go to article

Authors and Affiliations

Yuezhonyi Sun
1
Shouzhen Zhang
1
ORCID: ORCID
  1. School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China
2 Model goodness of fit evaluation based on a fuzzy inference system in virtual commissioning
Łukasz Glodek , Anna Glodek , Witold Nocoń , Szymon Bysko
Bulletin of the Polish Academy of Sciences Technical Sciences | 2026 | 74 | 4 | e158306 | DOI: 10.24425/bpasts.2026.158306
Keywords: virtual commissioning model goodness of fit fuzzy logic industrial automation systems
Download PDF Download RIS Download Bibtex

Abstract

Modern industrial plants are becoming increasingly complex, resulting in the need for rapid testing and validation of industrial automation systems. To meet the requirements mentioned above, new simulation techniques, like virtual commissioning (VC), can be employed, as they allow for identifying process bottlenecks at the very beginning of the commissioning process. Moreover, it has also been used for maintenance operator training. The essential stage of VC is verification of the model of a commissioned plant quality – model goodness of fit. A plethora of measures are used for model goodness of fit evaluation, but each is characterized by a different range of values and interpretations. Thus, the best idea is to use the hybrid approach for model goodness of fit evaluation, combining the information from different measures. In order to create a flexible system for decision-making, if a model quality is good and sufficient to be used in VC, the Virtual-Commissioning-Model Fuzzy Coefficient (VCMF) is introduced based on the Takagi-Sugeno-Kang fuzzy-inference system. It considers knowledge of virtual commissioning of industrial automation systems and information carried by different methods of goodness of fit evaluation (NRMSE, ME, MAE, and MIA). VCMF was based on data from the belt conveyor, which was thoroughly analyzed. Current, velocity, and torque time series underwent the data pre-processing and analysis methods, which resulted in obtaining a model. VCMF allows for differentiating models into those that can be used in VC and those that cannot. The threshold value was defined by Gaussian Mixture Modeling and Bayesian Information Criterion.
Go to article

Authors and Affiliations

Łukasz Glodek
1
ORCID: ORCID
Anna Glodek
2
Witold Nocoń
2
ORCID: ORCID
Szymon Bysko
1
ORCID: ORCID
  1. PROPOINT S.A., Gliwice, Poland
  2. Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland
3 Advanced CNN architectures and explainable AI for complex emotion recognition from facial images: experimental validation in human-robot interaction
Eryka Probierz , Kamil Skowroński , Adam Gałuszka , Anita Gałuszka
Bulletin of the Polish Academy of Sciences Technical Sciences | 2026 | 74 | 4 | e158776
Keywords: complex emotion recognition facial expression analysis convolutional neural networks explainable AI SHAP LIME OhBot human-robot interaction image-based affective computing AMAL attention layer
Download PDF Download RIS Download Bibtex

Abstract

This study investigates the recognition of complex emotional states from facial images using advanced convolutional neural network architectures and explainable artificial intelligence techniques. Unlike prior work focused on basic categorical emotions, we target subtle affective states such as frustration, confusion, or skepticism, which are critical for nuanced human-robot interactions. We compare a conventional deep learning model (ResNet50), an advanced EfficientNet-Transformer architecture, and our proposed CNN model enhanced with the Attention Map Alignment Layer (AMAL), designed to improve interpretability and focus on semantically relevant facial regions. Experimental evaluation on benchmark datasets (AffectNet, EMOTIC) and in a real-time simulation involving the OhBot social robot demonstrates that the proposed model achieves higher recognition accuracy for complex emotions and provides more consistent feature attribution using SHAP and LIME frameworks. The results highlight the potential of integrating explainable computer vision systems into interactive robotics, improving transparency and emotional understanding in artificial agents.
Go to article

Authors and Affiliations

Eryka Probierz
1
ORCID: ORCID
Kamil Skowroński
2
ORCID: ORCID
Adam Gałuszka
2
ORCID: ORCID
Anita Gałuszka
3
ORCID: ORCID
  1. Helena Chodkowska University of Technology and Economics, Faculty of Engineering, Jagiellonska 82F, 03-301 Warsaw, Poland
  2. Department of Automatic Control and Robotics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland
  3. Katowice Business University, Management Faculty, Harcerzy Wrzesnia 1939 3, 40-659 Katowice, Poland
4 The influence of compaction technology on the internal structure of the asphalt mixture
Marek Iwański , Małgorzata Durlej
Bulletin of the Polish Academy of Sciences Technical Sciences | 2026 | 74 | 4 | e158778
Keywords: asphalt mixture computed x-Ray tomography resistance to water and frost internal structure
Download PDF Download RIS Download Bibtex

Abstract

A fundamental property of asphalt mixtures is the void content. It significantly influences their resistance to water and frost. Currently, this is traditionally determined using the hydrostatic method. This method may not be effective for environmentally friendly mixtures produced using Warm Mix Asphalt technology. They are produced and compacted at a lower temperature than traditional methods. Therefore, they may be characterized by abnormal void content in the internal structure. Microtomographic analysis can now be used to thoroughly examine the internal structure of asphalt mixtures in terms of pore size distribution, interconnection patterns, and their arrangement. This is particularly important in identifying changes occurring within the asphalt mixture as a result of the destructive effects of water and frost. Studies were conducted on the effect of vibratory and Marshall impact compaction on the internal structure of the asphalt mixture. Mixture samples were analyzed before and after conditioning according to AASHTO T283 and WT-2 2014 standards. It was found that the compaction method affects the distribution and interconnection of pores. Samples compacted using the vibratory method are more uniform in terms of the distribution of large and interconnected pores within the asphalt mixture structure. Smaller pores with a volume of 0 to 0.5 mm3 occur between the mini-pores, increasing the resistance of the asphalt mixture to water and frost. It was found that, in addition to extremely small pores, interconnected pores have the greatest impact on the mixture resistance to water and frost.
Go to article

Authors and Affiliations

Marek Iwański
1
ORCID: ORCID
Małgorzata Durlej
1
ORCID: ORCID
  1. Kielce University of Technology, Faculty of Civil Engineering and Architecture, Al. Tysi ˛aclecia P.P. 7, 25-314 Kielce, Poland
5 A methodological framework for evaluating ADAS training for older drivers: Feasibility and user perception
Małgorzata Pelka , Aleksandra Rodak
Bulletin of the Polish Academy of Sciences Technical Sciences | 2026 | 74 | 4 | e158971
Keywords: driver training ADAS simulation sickness older drivers trust calibration
Download PDF Download RIS Download Bibtex

Abstract

The rapid introduction of Advanced Driver Assistance Systems (ADAS) poses a unique challenge for older drivers, who often face barriers in adopting these technologies. This study evaluates the effectiveness of a practical, simulator-based training concept designed specifically for drivers aged 50+. The empirical analysis of a research group of 25 people focused on verifying four research hypotheses regarding the suitability of the simulator, trust calibration, user awareness, and training utility. The results confirmed that the high-fidelity simulator is an appropriate training environment for this demographic; analysis of the Revised Simulator Sickness Questionnaire (RSSQ) revealed a statistically significant reduction in symptoms during the adaptation process, validating the physical feasibility of the training (H1). The intervention led to a measurable increase in trust towards ADAS, with a strong effect size, confirming positive behavioral adaptation (H2). Furthermore, participants demonstrated raised awareness of system benefits, primarily identifying enhanced safety and speed control (H3). The proposed training model achieved high internal consistency and received positive subjective usability ratings (H4). These findings support the deployment of simulatorbased practical training as an effective tool for preventing digital exclusion among older drivers. Key words: driver training; ADAS; simulation sickness; older drivers; trust calibration.
Go to article

Authors and Affiliations

Małgorzata Pelka
1
ORCID: ORCID
Aleksandra Rodak
1
ORCID: ORCID
  1. Motor Transport Institute, Poland
6 Prediction of adsorption efficiency for alkali activated carbon using Artificial Neural Networks
Abdelrahman G. Gadallah , AbdulAziz A. Alghamdi , H.E. Fawaz
Bulletin of the Polish Academy of Sciences Technical Sciences | 2026 | 74 | 4 | e158307
Keywords: activated carbons adsorption capacity artificial neural network multilayer perceptron backpropagation algorithm Adam optimizer
Download PDF Download RIS Download Bibtex

Abstract

Activated carbon is a widely used adsorbent in wastewater treatment due to its high surface area and tunable physicochemical properties. The adsorption performance of activated carbon is strongly influenced by synthesis parameters, including impregnation ratio, activation time, and activation temperature, which are studied in detail in the present work. An artificial neural network (ANN) model was developed to predict the adsorption capacity of methylene blue based on these three process variables. Activated carbons were prepared using chemical activation with potassium hydroxide (KOH) and sodium hydroxide (NaOH), and their adsorption performance was determined through experimental measurements. The ANN model adopted a multilayer perceptron (MLP) architecture with an input layer consisting of three neurons corresponding to impregnation ratio, activation time, and activation temperature. This was followed by ten hidden layers, each containing fourteen neurons, and a single output neuron representing the adsorption capacity in mg/g. The network was trained using backpropagation and optimized using the Adam optimizer. The architecture and the number of neurons were selected through successive comparison of the loss values on training and validation datasets to ensure high generalization accuracy. The trained ANN model accurately captured the nonlinear relationships between synthesis parameters and adsorption capacity. This work highlights the capability of ANN as an effective predictive tool in materials science, facilitating the design and optimization of activated carbon synthesis with reduced experimental effort. The proposed approach can serve as a foundation for developing intelligent systems for material selection and process optimization in environmental applications.
Go to article

Authors and Affiliations

Abdelrahman G. Gadallah
1
ORCID: ORCID
AbdulAziz A. Alghamdi
1
H.E. Fawaz
2
  1. Department of Chemical Engineering, College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU),11432 Riyadh, Saudi Arabia
  2. Department of Mechanical Engineering, National Research Centre, Giza 12622, Egypt
7 Stabilization of linear discrete-time control systems with the Caputo convolution type difference fractional variable-order operator
Dorota Mozyrska , Malgorzata Wyrwas
Bulletin of the Polish Academy of Sciences Technical Sciences | 2026 | 74 | 4 | e158972
Keywords: fractional discrete-time control system asymptotic stability stabilization
Download PDF Download RIS Download Bibtex

Abstract

The paper focuses on the stabilization of fractional variable-order linear discrete-time systems with the Caputo difference operator of the convolution type. The Z-transform is a powerful and widely used tool for analyzing the stability of linear control systems. It provides insight into the behavior of the system solutions, particularly in the discrete-time domain. Given the fundamental role of stability in control theory and its applications in automation, a central objective is the stabilization of control systems. Stabilization refers to the process of determining a suitable state-feedback law that ensures the asymptotic stability of the system. In situations where the open-loop system is not asymptotically stable, stability can often be achieved by introducing a properly designed state-feedback controller. This controller is typically constructed based on the eigenvalue spectrum of the closed-loop system matrix. The conditions for asymptotic stability, derived via the Z-transform approach, provide practical criteria for eigenvalue placement and serve as a guide for ensuring the desired system behavior.
Go to article

Authors and Affiliations

Dorota Mozyrska
1
ORCID: ORCID
Malgorzata Wyrwas
1
ORCID: ORCID
  1. Faculty of Computer Science, Bialystok University of Technology, Poland
8 ES-SAC: A hybrid evolution strategy and reinforcement learning approach for humanoid locomotion control
Mustafa Ayyıldız , Övünç Polat
Bulletin of the Polish Academy of Sciences Technical Sciences | 2026 | 74 | 4 | e158974
Keywords: actor-critic algorithms evolutionary computation humanoid robots reinforcement learning
Download PDF Download RIS Download Bibtex

Abstract

State-of-the-art deep reinforcement learning (DRL) techniques such as Soft Actor-Critic (SAC), Twin Delayed Deep Deterministic Policy Gradient (TD3), and Deep Deterministic Policy Gradient (DDPG) demonstrate promising results in developing control strategies. In this study, we propose ES-SAC, a hybrid learning framework that integrates Evolutionary Strategy (ES) with the SAC algorithm to enhance humanoid robot locomotion control. ES-SAC leverages the global search capabilities of evolutionary algorithms and the sample efficiency and convergence properties of DRL. The performance of the ES-SAC agent was evaluated on a bipedal robot simulation and compared to other hybrid methods employing deterministic agents, including ES-TD3 and ES-DDPG. The ES-SAC agent exhibited superior average reward performance and a more stable learning process. In contrast, the ES-TD3 agent achieved faster course completion but exhibited control instabilities. This study also highlights the importance of physical and behavioral metrics – such as torque efficiency, horizontal and vertical deflection, and Q0 values – in assessing the reliability of DRL-based locomotion control. Our findings suggest that relying solely on cumulative reward for evaluation can be misleading, underscoring the need for a more comprehensive analysis in future research.
Go to article

Authors and Affiliations

Mustafa Ayyıldız
1
ORCID: ORCID
Övünç Polat
2
ORCID: ORCID
  1. The Vocational School of Technical Sciences, Department of Electronics and Automation, Akdeniz University, Antalya, Turkey
  2. Faculty of Engineering, Department of Electrical and Electronics Engineering, Akdeniz University, Antalya, Turkey
9 A simulation-based comparative study of component allocation strategies in AGV-supported assembly intralogistics
Marek Krynke , Magdalena Mazur , Elżbieta Stolarska-Szeląg
Bulletin of the Polish Academy of Sciences Technical Sciences | 2026 | 74 | 4 | e158779 | DOI: 10.24425/bpasts.2026.158779
Keywords: computer simulation optimalization FlexSim assembly components internal transport process modeling resource allocation
Download PDF Download RIS Download Bibtex

Authors and Affiliations

Marek Krynke
1
ORCID: ORCID
Magdalena Mazur
1
ORCID: ORCID
Elżbieta Stolarska-Szeląg
2
ORCID: ORCID
  1. Czestochowa University of Technology, Poland
  2. Kielce University of Technology, Poland
10 Dynamic simulation of a Vacuum Packed Particles Torsional Damper with ABS-NBR particle mixtures using a modified Bouc-Wen model
Dominik Rodak , Mateusz Żurawski , Robert Zalewski
Bulletin of the Polish Academy of Sciences Technical Sciences | 2026 | 74 | 4 | e158774
Keywords: Vacuum Packed Particles Damper adaptive damping Bouc-Wen Model hysteresis modeling nonlinear dynamics
Download PDF Download RIS Download Bibtex

Abstract

Vacuum Packed Particles Torsional Dampers (VPPTDs) are adaptive devices capable of providing tunable damping through the adjustment of underpressure inside a granular-filled chamber. Despite their promising applications in vibration control, accurately modeling their highly nonlinear and hysteretic behavior remains a significant challenge. This paper shows a modified Bouc-Wen model that incorporates an additional nonlinear stiffness term and a dry friction component to better represent the torque-angular displacement relationship under varying operational conditions. Quasi-static experiments were conducted on a dedicated test stand with harmonic excitation (±10◦) across frequencies from 0.0 to 0.8 Hz and underpressures ranging from 0.00 to 0.09 MPa. Various granular mixtures composed of Acrylonitrile Butadiene Styrene (ABS) and Nitrile Butadiene Rubber (NBR) particles in volume ratios of 1:0, 3:1, 1:1, 1:3, and 0:1 were investigated. The shape and area of the hysteresis loops were found to depend strongly on both the mixture composition and the vacuum level. Model parameters were identified using evolutionary algorithms and expressed as functions of underpressure, allowing the simulation of pressure-dependent damping and stiffness behavior. Dynamic simulations based on the identified models confirmed that adjusting the vacuum level effectively changes the system dynamic response. The results demonstrate that the proposed model reliably captures the complex hysteretic behavior of VPPTDs and confirms the feasibility of employing underpressure as an effective control variable in adaptive damping applications.
Go to article

Authors and Affiliations

Dominik Rodak
1
ORCID: ORCID
Mateusz Żurawski
1
ORCID: ORCID
Robert Zalewski
1
ORCID: ORCID
  1. Warsaw University of Technology, Faculty of Automotive and Construction Machinery Engineering,Narbutta 84, 02-524 Warsaw, Poland
11 Kinetics of the hydration process and rheology of cement pastes containing mechanically activated chalcedonite powder
Edyta Spychał , Martin Vyšvařil
Bulletin of the Polish Academy of Sciences Technical Sciences | 2026 | 74 | 4 | e158780
Keywords: carbon dioxide emissions cement paste chalcedonite powder waste particle size hydration processes rheology
Download PDF Download RIS Download Bibtex

Abstract

Reducing the amount of Portland clinker in the cement composition is one of the key aspects of the strategy aiming to reduce carbon dioxide emissions. One solution is to use waste materials for this purpose, for example, stone fine powder, especially limestone, basalt, granite, and melaphyre powder. There is insufficient information about the use of chalcedonite powder as an addition in cement or cement composites. Also, there is no precise information about the impact of this material on the particle size and the resulting changes in the properties of cement pastes. Therefore, this study investigates how the particle size and amount of chalcedony powder affect the hydration processes and rheological properties of cement pastes. The addition was used at 10%, 20%, and 30% by weight of the cement, with grain sizes up to 10 µm, 20 µm, and 36 µm, respectively. The hydration kinetics of the pastes were assessed based on calorimetric measurements, supplemented by DTA-TG analysis and mechanical properties tests. Additionally, the rheological properties were determined. The study demonstrated that chalcedony powder affects the tested parameters to varying degrees. In rheological research, the cement paste containing the largest grain size (CHP36) chalcedonite powder showed the most similar properties to the CEM cement paste (without the addition). In contrast, the pastes modified with chalcedonite powder, in which the cement was replaced by 10% of the additive, exhibited the highest amount of cumulative heat. In terms of 28-day compressive strength, the materials containing CHP20 powder demonstrated the most similar properties to the reference paste, without the addition.
Go to article

Authors and Affiliations

Edyta Spychał
1
ORCID: ORCID
Martin Vyšvařil
2
  1. Faculty of Civil Engineering and Architecture, Kielce University of Technology, Poland
  2. Faculty of Civil Engineering, Brno University of Technology, Czechia

Instructions for authors

Guide for Authors

https://www.editorialsystem.com/bpasts/journal/for_authors/

Fees for open access publications in Bulletin of the Polish Academy of Sciences Technical Sciences:

2000 PLN (approx. 500 EUR) - up to 8 pages of the journal format and mandatory over-length charges of 250 PLN (approx. 60 EUR) per page (see the above link with instructions for Authors for details)

Guide for Reviewers

https://www.editorialsystem.com/bpasts/journal/for_reviewers/

Call for Papers

https://www.editorialsystem.com/bpasts/journal/call_for_papers/

Guide for Guest Editors

https://www.editorialsystem.com/editor/bpasts/journal/page1/

Additional info

NEW PUBLICATION FEES
Articles submitted by December 31st, 2024: existing fee: 1500 PLN (and mandatory over-length charges of 230 PLN per page)
Articles submitted from January 1st, 2025: new fee: 2000 PLN (approx. 500 EUR- depending on the exchange rate) - a flat fee per paper up to 8 pages of the journal format (each additional page will be charged an additional 250 PLN).

This page uses 'cookies'. Learn more