Reducing uncertainties in response predictions of earthquake-damaged masonry buildings using data from image-based inspection
Graph Chatbot
Chat with Graph Search
Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
Masonry aggregates, which emerged as layouts of cities and villages became denser, make up historical centres all over the world. In these aggregates, neighbouring structures may share structural walls that are joined at the interfaces by mortar or interlo ...
The seismic history of the Mosha fault, the largest and most active fault of Eastern Tehran metropolis, and its relation to the Damavand active volcano, the highest mountain in the Middle East, is investigated. We deduce that the central Mosha, near the Da ...
2022
,
Earthquake loss estimation in composite-steel moment resisting frames (MRFs) necessitates a proper estimation of the level of damage in steel beam-to-slab connections. These usually feature welded headed shear studs to ensure the composite action between t ...
2021
, ,
Masonry buildings form building aggregates around the world in historical centers, which developed as the layout of the city or village densified. In these aggregates, adjacent buildings can share structural walls, connected at the interfaces by interlocki ...
The emergence of new high-performance materials and equipment, as well as advancements in numerical calculation techniques, have allowed base isolation to take its place among the strategies used by engineers in earthquake resistant design. Despite the eno ...
The seismic assessment of existing unreinforced masonry buildings to determine their vulnerability is a critical issue for all earthquake-prone locations, and Switzerland is no exception. As a result, a thorough examination of the behaviour of masonry stru ...
Explainable machine learning and uncertainty quantification have emerged as promising approaches to check the suitability and understand the decision process of a data-driven model, to learn new insights from data, but also to get more information about th ...
The seismic activity rate is one of the most significant factors in seismic hazard modeling. Although it is usually estimated from observed seismicity, a complete picture of the possible earthquakes is not always available since catalogs of the observed ea ...
In this paper, the impact of several sources of uncertainty on the seismic response of an experimentally tested building is assessed for the case of a post-earthquake scenario. The building comprises unreinforced masonry and reinforced concrete walls. It i ...
With the overall goal of reducing the numerical burden of uncertainty quantification involved in seismic risk assessments, this paper examines opportunities for assessment of seismic collapse capacity and risk using data-driven surrogates as a complement t ...