2020
DOI: 10.1007/978-3-030-41057-5_151
|View full text |Cite
|
Sign up to set email alerts
|

Micromodels for the In-Plane Failure Analysis of Masonry Walls with Friction: Limit Analysis and DEM-FEM/DEM Approaches

Abstract: Despite its complexity, the accurate structural modelling of masonry still represents an active field of research, due to several practical applications in civil engineering, with special reference to the preservation and restoration of cultural heritage. In this work a comparison of different models and techniques for the assessment of the mechanical behaviour of two-dimensional block masonry walls subjected to the static action of in-plane loads is presented. Panels are characterized by different height-to-w… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
5

Relationship

4
1

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 34 publications
(40 reference statements)
0
3
0
Order By: Relevance
“…This work focus the attention on the study of the ultimate behaviour of masonry arches of different geometries and shape, considering the presence of friction, considered by several authors (Ferris and Tin-Loi, 2001;Mousavian and Casapulla, 2020;Portioli et al, 2014;Casapulla and Maione, 2020), and comparing results with several contributes present in literature (Brandonisio et al, 2017;Calderini and Lagomarsino, 2015;Como, 2015;Misseri et al, 2018;DeJong et al, 2008). In particular, starting from (Baggio and Trovalusci, 2000), a new version of the ALMA code (Analisi Limite Murature Attritive) has been developed based on the Limit Analysis (Pepe, 2020;Pepe et al, 2019Pepe et al, , 2020a namely ALMA 2.0. ALMA 2.0 has been implemented in recent coding language of Python TM permits an easy and fast scalability and improving of the code.…”
Section: Limit Analysis Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…This work focus the attention on the study of the ultimate behaviour of masonry arches of different geometries and shape, considering the presence of friction, considered by several authors (Ferris and Tin-Loi, 2001;Mousavian and Casapulla, 2020;Portioli et al, 2014;Casapulla and Maione, 2020), and comparing results with several contributes present in literature (Brandonisio et al, 2017;Calderini and Lagomarsino, 2015;Como, 2015;Misseri et al, 2018;DeJong et al, 2008). In particular, starting from (Baggio and Trovalusci, 2000), a new version of the ALMA code (Analisi Limite Murature Attritive) has been developed based on the Limit Analysis (Pepe, 2020;Pepe et al, 2019Pepe et al, , 2020a namely ALMA 2.0. ALMA 2.0 has been implemented in recent coding language of Python TM permits an easy and fast scalability and improving of the code.…”
Section: Limit Analysis Modelmentioning
confidence: 99%
“…The position the critical joints is then obtained following a solved with a trial and error strategy by varying its position. (Pepe et al, 2019(Pepe et al, , 2020a overcome the limit in term of number of blocks respect to the original version (Baggio and Trovalusci, 2000) and it has been improved in order to take into account foundation settlement (Pepe et al, 2020b), cohesion between the joints and retrofitting cable (Pepe, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…Starting from the work of [13], a new version of the ALMA code (Analisi Limite Murature Attritive) has been developed based on the Limit Analysis [23,24,25] namely ALMA 2.0. The new version of ALMA by the adoption of the recent coding language Python T M and the advantages of the novel optimization subroutine, such as MOSEK library (www.mosek.com), overcomes the limit in terms of number of blocks with respect to the original version [13] and it has been improved in order to take into account foundation settlement [21], cohesion between the joints and retrofitting tie [23].…”
Section: Introductionmentioning
confidence: 99%