Advances in Computational Mechanics of Masonry: Modeling, Simulation, and Applications

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 701

Special Issue Editors


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Guest Editor
Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, 20133 Milan, Italy
Interests: computational mechanics; masonry; composite materials; interface mechanics; FE analysis; heritage preservation; parametric modelling; experimental testing
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Department of Civil and Building Engineering, and Architecture, Polytechnic University of Marche, Via Brecce Bianche 12, 60131 Ancona, Italy
Interests: mathematical models of curved beams; linear and non-linear dynamics of beams and laminates; non-smooth contact dynamics method applied to masonry structures; dynamic identification of physical; modal
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Guest Editor
Department of Engineering, University of Sannio, Benevento, Italy
Interests: Masonry constructions; energy-based modelling; design of 3D assemblies via mathematical optimization; sustainable constructions; self-assembly processes; form finding and design of shells; soil–structure interaction; rocking dynamics; historic constructions; crack pattern identification and inverse structural analysis
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Department of Civil, Computer Science and Aeronautical Technologies Engineering, Roma Tre University, Rome, Italy
Interests: heritage preservation; advanced composite materials; DEM modelling of masonry; experimental characterization of building materials and structural elements; seismic assessment and retrofitting; surveying and structural health monitoring; photogrammetry and image-based analysis of masonry
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Guest Editor
International Center for Numerical Methods in Engineering (CIMNE), 08034 Barcelona, Spain
Interests: computational models for the Fluid structure; pyroclastic flows

Special Issue Information

Dear Colleagues,

Masonry is one of the most widespread structural materials in both historic and contemporary construction, yet its nonlinear and heterogeneous behavior poses significant challenges for analysis and design—especially under seismic or extreme loading conditions. Advances in computational mechanics have therefore become essential for understanding and predicting the response of masonry structures.

Recent progress in numerical modeling, including detailed micromodels, efficient macromodels, finite and discrete element methods, and hybrid or multiscale strategies, now enables more accurate simulation of damage, cracking, collapse mechanisms, and the effectiveness of innovative strengthening techniques. These tools also benefit from increasing integration with experimental data, structural monitoring, and model updating approaches, as well as digital tools and computer-based techniques for structural surveys.

This Special Issue aims to gather contributions that advance the modeling, analysis, and simulation of masonry systems, both unreinforced and strengthened with advanced materials. Topics of interest include constitutive modeling, nonlinear behavior, fracture and damage processes, seismic performance, model verification and validation, and applications—including experimental investigation—to heritage and modern structures. We welcome original research, review articles, methodology papers, and case studies demonstrating practical implementation in engineering or preservation contexts.

Dr. Natalia Pingaro
Prof. Dr. Francesco Clementi
Prof. Dr. Antonino Iannuzzo
Dr. Pietro Meriggi
Dr. Andrea Montanino
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • masonry structures
  • computational mechanics
  • numerical modeling
  • finite element analysis
  • discrete element methods

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Published Papers (1 paper)

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Research

18 pages, 3057 KB  
Article
Advancing Masonry Engineering: Effective Prediction of Prism Strength via Machine Learning Techniques
by Panumas Saingam, Burachat Chatveera, Adnan Nawaz, Muhammad Hassan Ali, Sandeerah Choudhary, Muhammad Salman, Muhammad Noman, Preeda Chaimahawan, Chisanuphong Suthumma, Qudeer Hussain, Tahir Mehmood, Suniti Suparp and Gritsada Sua-Iam
Buildings 2026, 16(8), 1471; https://doi.org/10.3390/buildings16081471 - 8 Apr 2026
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Abstract
Masonry buildings have shaped construction history since about 6500 BCE. They offer durability, strength, and cost effectiveness, especially in developing countries. Yet assessing compressive strength during construction remains challenging due to the constituent materials soil, cement, and stone, complicating standardization worldwide. In the [...] Read more.
Masonry buildings have shaped construction history since about 6500 BCE. They offer durability, strength, and cost effectiveness, especially in developing countries. Yet assessing compressive strength during construction remains challenging due to the constituent materials soil, cement, and stone, complicating standardization worldwide. In the present study, an innovative model based on a machine learning algorithm is put forth to predict the compressive strengths of prisms. Some important factors considered as input to the algorithm based on traditional methods are the brick and mortar strengths, prism geometry, mortar bed thickness, and empirically derived height-to-thickness (t) (h/t) ratios. Three different ANN algorithms are coded and trained on the input data, and they are based on the Levenberg–Marquardt algorithm, the resilient backpropagation algorithm, and the conjugate gradient algorithm. The optimal ANN model trained using the conjugate gradient Polak–Ribière algorithm (traincgp) achieves superior performance, with R2 = 0.9881, R2 = 0.9927, RMSE = 0.9914 MPa, MAE = 0.6039 MPa, MAPE = 20.9141%, VAF = 0.9881, and WI = 0.9970. Sensitivity analysis shows the height-to-thickness (h/t) ratio is the dominant influence on compressive strength, consistent with structural mechanics. The primary contributions are the systematically curated, richly parameterized dataset and its use to produce robust, physically interpretable predictions with established ANN methods. Full article
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