Zobrazeno 1 - 10
of 13
pro vyhledávání: '"María L. Jalón"'
Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12310 (2023)
In response to escalating global environmental challenges, developed countries have embarked on an ecological transition across a range of sectors. Among these, the construction industry plays a key role due to its extensive use of raw materials and
Externí odkaz:
https://doaj.org/article/d86963bf98f24219b5f9d314845c57bf
Autor:
Enrique Hernández-Montes, María L. Jalón, Rubén Rodríguez-Romero, Juan Chiachío, Víctor Compán-Cardiel, Luisa María Gil-Martín
The deterioration of Cultural Heritage assets caused by the natural hazards is a pressing issue in many countries. Therefore, reliable models based on the large-scale structural response of the assets is key to assess their resilience. However, relia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b632e26ea852c8eedf876af89f1f62f6
https://hdl.handle.net/10481/82254
https://hdl.handle.net/10481/82254
A new tool for seismic design is presented, called Yield Displacement Charts (YDC). As with its predecessors, the Yield Point Spectra (YPS) and the Yield Frequency Spectra (YFS), the YDC concept takes advantage of the simple features of yield displac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f09f2836199948ca063abb15c03b3857
https://hdl.handle.net/10481/77747
https://hdl.handle.net/10481/77747
Publikováno v:
Digibug. Repositorio Institucional de la Universidad de Granada
instname
instname
This work presents a digital twin framework for structural engineering. The digital twin is conceptualised and mathematically idealised within the context of structural integrity, and includes the main attributes to behave as a functional digital twi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f76162a31974d8cea12dc5083cc5bc3
http://hdl.handle.net/10481/75690
http://hdl.handle.net/10481/75690
Publikováno v:
Bayesian Inverse Problems ISBN: 9781315232973
Bayesian Inverse Problems
Bayesian Inverse Problems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d7ccdb8b04ed42e21099899f13b1718
https://doi.org/10.1201/b22018-3
https://doi.org/10.1201/b22018-3
Autor:
Masoud Haghbin, Ahmad Sharafati, Roozbeh Aghamajidi, Seyed Babak Haji Seyed Asadollah, Mohamadreza Hosseinian Moghadam Noghani, María L. Jalón
Publikováno v:
Flow Measurement and Instrumentation. 85:102161
Autor:
Luisa M, Rubén Rodríguez-Romero, María L. Jalón, Manuel Chiachío, Gil-Martín, Enrique Hernández-Montes, Víctor Compán-Cardiel, Juan Chiachío
Publikováno v:
Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021).
Publikováno v:
Energy. 95:110-123
This research used an optimization method to highlight the importance of time scales in the design of a bottom-fixed OWC (oscillating water column). The different time scales studied were a sea state, a season, and a year. For the last two scales, a
Autor:
Feargal Brennan, María L. Jalón
Publikováno v:
Ocean Engineering. 206:107260
This paper explores a trade-off between structural longevity and energetic response for wave energy converters in irregular waves. To this end, a physics-based simulation methodology is developed which integrates both the hydrodynamic efficiency calc
Publikováno v:
Reliability Engineering & System Safety. 195:106621
This paper presents a prognostics methodology to deal with complex degradation processes for which condition monitoring data constitute the only available source of physical information. The proposed methodology is general, but here it is illustrated