Reconnaissance analysis on buildings damaged during Durres earthquake Mw6.4, 26 November 2019, Albania: effects to non-structural elements

Sheshov, Vlatko; Apostolska, Roberta; Bozinovski, Zoran; Vitanova, Marija; Stojanoski, Blagojce; Edip, Kemal; Bogdanovic, Aleksandra; Salic, Radmila; Jekic, Goran; Zafirov, T.; Zlateski, Aleksandar; Chapragoski, G.; Tomić, Daniel; Zurovski, A.; Trajchevski, J.; Markovski, Igor

doi:10.1007/s10518-021-01271-1

Cited by 13 publications

(4 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…[ [2][3][4][5][6]9,[11][12][13]16,18,22,[33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48] 5…”

Section: Significance Of the Studyunclassified

See 1 more Smart Citation

Vulnerability of Non-Structural Elements (NSEs) in Buildings and Their Life Cycle Assessment: A Review

Ahmad,

Ahmed,

Shahzada

et al. 2024

Buildings

View full text Add to dashboard Cite

Purpose: This paper conducts a review of the different research carried out recently on the behavior of non-structural elements (NSEs) and the life cycle assessment (LCA) during an earthquake. It focuses on the study conducted recently and identifies the gaps and way forward for future work. Methods: A systematic literature review was carried out among the different research works. The proposed literature review includes (i) identifying the recent research work using the keywords in available search engines, (ii) studying different research papers and selecting the relevant papers only, and (iii) vulnerability and LCA for NSEs and their research gaps. Results and discussions: A summary is given of the importance and type of NSEs under earthquakes, including life cycle cost assessment for NSE, environment life cycle assessment (ELCA) and social life cycle assessment (SLCA) for different facilities and the embodied energies. Conclusions and recommendations: This paper highlights the problems associated with NSEs. For new constructions, modifications to improve the performance of NSEs, particularly infill walls are under research, however for old buildings, their location is also vital. Numerical methods are performed using different tools available; however, implementation is a big challenge to economize the life cycle and its impact on the community.

show abstract

“…[ [2][3][4][5][6]9,[11][12][13]16,18,22,[33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48] 5…”

Section: Significance Of the Studyunclassified

“…The ASCE 41-17 performance parameters overestimate the collapse probability by 30-50% for medium-level earthquakes and by 5-15% for high-level earthquake [30]. The sub-soil effects are very important and affect the amplitude and frequency of ground motion during an earthquake [46].…”

Section: Sustainability and Resilience For Performance Evaluationmentioning

confidence: 99%

Vulnerability of Non-Structural Elements (NSEs) in Buildings and Their Life Cycle Assessment: A Review

Ahmad,

Ahmed,

Shahzada

et al. 2024

Buildings

View full text Add to dashboard Cite

show abstract

“…The behavior of structures with and without the presence of NSE can vary significantly and the base shears can increase significantly if the effects of NSE are considered while designing [37]. The sub-soil effects is very important and affects the amplitude and frequency of ground motion during an earthquake [48].…”

Section: Sustainability and Resilience For Performance Evaluationmentioning

confidence: 99%

Vulnerability Analysis of Non-structural Elements (Nse) in Buildings and Their Life-Cycle Assessment: A Review

Ahmad,

Ahmed,

Shahzada

2023

Preprint

View full text Add to dashboard Cite

The response of building elements during earthquakes has been an area of concern for different researchers around the world. The NSEs are the first elements to attain failure, the buildings after damages in safety priority are classified as in “Life Safety” mode, but in reality, they are in “Collapse Safety” mode and the occupants inside the buildings are in a state of “Non-Life Safety” as a result of falling of the hazardous NSE’s like cladding's, partitions, hanging objects. In addition to the Life Cycle Cost Assessment (LCCA), the Social Life Cycle Assessment (SLCA) is overlooked by the majority of the researchers, the community must be prepared to respond to an event more efficiently without any major casualties or loss of life. It is expected that by the end of 2050, almost double the construction will take place, the embodied energy during the pre-construction, post-construction and demolition generates a lot of CO2s into the environment, hence sustainability should be given due importance, helping in the achievement of Sustainable Developmental Goals (SDGs).

show abstract

“…Albania is located in the southeastern part of Europe, on the western side of the Balkan Peninsula. It is positioned in the Mediterranean, between the Adriatic and the Ionian Seas, and has suffered from severe earthquakes after 1900 (such as 1905-Shkodër-Ms: 6.6, 1911-Ohrid lake-Ms: 6.7, 1920-Tepelenë-Ms: 6.4, 1926-Durres Ms: 6.2, 1930-Llogara Mountain-Ms: 6.3, 1959-Lushnje-Ms: 6.4, 1960-Korcë-Ms: 6.5, 1962-Fier-Ms: 6.0, 1967-Dibër-Ms: 6.6, 1979-Montenegro-Ms: 6.9) [71][72][73]. Earthquakes are the most significant category of natural hazards in Albania [74].…”

Section: Study Area and Building Stockmentioning

confidence: 99%

Development of a Fuzzy Inference System Based Rapid Visual Screening Method for Seismic Assessment of Buildings Presented on a Case Study of URM Buildings

2022

View full text Add to dashboard Cite

Many conventional rapid visual screening (RVS) methods for the seismic assessment of existing structures have been designed over the past three decades, tailored to site-specific building features. The objective of implementing RVS is to identify the buildings most susceptible to earthquake-induced damage. RVS methods are utilized to classify buildings according to their risk level to prioritize the buildings at high seismic risk. The conventional RVS methods are employed to determine the damage after an earthquake or to make safety assessments in order to predict the damage that may occur in a building before an impending earthquake. Due to the subjectivity of the screener based on visual examination, previous research has shown that these conventional methods can lead to vagueness and uncertainty. Additionally, because RVS methods were found to be conservative and to be partially accurate, as well as the fact that some expert opinion based developed RVS techniques do not have the capability of further enhancement, it was recommended that RVS methods be developed. Therefore, this paper discusses a fuzzy logic based RVS method development to produce an accurate building features responsive examination method for unreinforced masonry (URM) structures, as well as a way of revising existing RVS methods. In this context, RVS parameters are used in a fuzzy-inference system hierarchical computational pattern to develop the RVS method. The fuzzy inference system based RVS method was developed considering post-earthquake building screening data of 40 URM structures located in Albania following the earthquake in 2019 as a case study. In addition, FEMA P-154, a conventional RVS method, was employed to screen considered buildings to comparatively demonstrate the efficiency of the developed RVS method in this study. The findings of the study revealed that the proposed method with an accuracy of 67.5% strongly outperformed the conventional RVS method by 42.5%.

show abstract

Reconnaissance analysis on buildings damaged during Durres earthquake Mw6.4, 26 November 2019, Albania: effects to non-structural elements

Cited by 13 publications

References 10 publications

Vulnerability of Non-Structural Elements (NSEs) in Buildings and Their Life Cycle Assessment: A Review

Vulnerability of Non-Structural Elements (NSEs) in Buildings and Their Life Cycle Assessment: A Review

Vulnerability Analysis of Non-structural Elements (Nse) in Buildings and Their Life-Cycle Assessment: A Review

Development of a Fuzzy Inference System Based Rapid Visual Screening Method for Seismic Assessment of Buildings Presented on a Case Study of URM Buildings

Contact Info

Product

Resources

About