Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Alon Urlainis"'
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8789 (2024)
This study presents a novel framework for integrating corrosion effects into critical infrastructure seismic risk assessment, focusing on reinforced concrete (RC) structures. Unlike traditional seismic fragility curves, which often overlook time-depe
Externí odkaz:
https://doaj.org/article/de2fbf8abcb24722b3dae10e66f35b13
Publikováno v:
Applied Sciences, Vol 14, Iss 9, p 3835 (2024)
The role of critical infrastructures in maintaining the functioning of the economy and society and ensuring national security, particularly their durability in delivering essential services during crises, including natural disasters such as earthquak
Externí odkaz:
https://doaj.org/article/bd3c6724a6164ba189b3a89a96a0220c
Publikováno v:
Applied Sciences, Vol 14, Iss 3, p 1233 (2024)
This study investigates the life expectancy (LE) and life cycle costs (LCC) of three alternatives of interior partitions in residential units: gypsum board, autoclaved concrete block, and hollow concrete block partitions. The aim is to examine the su
Externí odkaz:
https://doaj.org/article/1f1b06ef8272451a893856b728a40524
Autor:
Alon Urlainis, Igal M. Shohet
Publikováno v:
Buildings, Vol 13, Iss 9, p 2265 (2023)
A severe seismic event can cause significant damage to infrastructure systems, resulting in severe direct and indirect consequences. A comprehensive risk-management approach is required for earthquake-resilient infrastructure. This study presents an
Externí odkaz:
https://doaj.org/article/8148435ada0d43268b99e4fd1ae2ef3c
Publikováno v:
Geosciences, Vol 13, Iss 7, p 196 (2023)
In observational method projects in geotechnical engineering, the final geotechnical design is decided upon during actual construction, depending on the observed behavior of the ground. Hence, engineers must be prepared to make crucial decisions prom
Externí odkaz:
https://doaj.org/article/dc1d2b7fb5cb4522ab91b240d75fbceb
Autor:
Amichai Mitelman, Alon Urlainis
Publikováno v:
Mathematics, Vol 11, Iss 7, p 1623 (2023)
The potential of machine learning (ML) tools for enhancing geotechnical analysis has been recognized by several researchers. However, obtaining a sufficiently large digital dataset is a major technical challenge. This paper investigates the use of tr
Externí odkaz:
https://doaj.org/article/74e1b644d9ab4386a7a8aad6a05d8537
Autor:
Alon Urlainis, Igal M. Shohet
Publikováno v:
Buildings, Vol 12, Iss 10, p 1748 (2022)
Recent earthquake events have highlighted the importance of critical infrastructure (CI) resilience, as a strong correlation was found between economic loss and severity of CI damage. CIs are characterized by a complex structure composed of sub-compo
Externí odkaz:
https://doaj.org/article/3466c309c1294c9b9f1c1e7cca080c5f
Autor:
Alon Urlainis, Igal M. Shohet
Publikováno v:
Buildings, Vol 12, Iss 6, p 842 (2022)
Fragility curves are a common tool to appraise the expected damage to critical infrastructure (CI) after an earthquake event. Previous studies offer fragility curve parameters for CI that are suitable for a vast range of systems, without an in-depth
Externí odkaz:
https://doaj.org/article/5cf902cd79804df1855129ceae6b86b0
Publikováno v:
Geosciences; Volume 13; Issue 7; Pages: 196
In observational method projects in geotechnical engineering, the final geotechnical design is decided upon during actual construction, depending on the observed behavior of the ground. Hence, engineers must be prepared to make crucial decisions prom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::18b30c6ee7980f127992291876d6089d
Publikováno v:
Safety Science. 147:105587
Critical Infrastructures such as hospitals, power stations and communication centers play a crucial role in the performance of economy and society. Over the last few decades, the number and variety of infrastructures grew rapidly and the interdepende
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::119951b9e2f6bb62347ea8167838af48
https://doi.org/10.1016/j.ssci.2021.105587
https://doi.org/10.1016/j.ssci.2021.105587