Knowledge-based system for damage assessment after earthquake: Algerian buildings case

Akkouche, K.; Hannachi, Naceur Eddine; Hamizi, Mohand; Khelil, Nacim; Djouzi, Kheyreddine; Daoui, Mehammed

doi:10.1007/s42107-019-00143-z

Cited by 6 publications

(5 citation statements)

References 25 publications

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“…For knowledge representation, we used the JESS to represent facts and form the rules. First we present the questions before the user asking if the component has suffered from the damages mentioned in the scientific work (Akkouche et al, 2019). The user either puts his answer as yes or no.…”

Section: Knowledge Representationmentioning

confidence: 99%

“…The introduction of these models given by (Akkouche et al, 2019): for the estimation of the damage level and (Morgan et al, 2006)…”

Section: The Rulesmentioning

confidence: 99%

“…Several strategies have been adopted the field of damage detection; with high resolution imagery (Bechtoula & Ousalem, 2005;Saito, 2004). and artificial intelligence theory-based systems (Anagnostopoulos & Moretti, 2008;Akkouche et al, 2019;Boukri et al, 2013;Churilov, 2009). All these techniques represent an important technological advance in this field, and their applications represent a success with the post-event management managers.…”

Section: Introductionmentioning

confidence: 99%

“…PSDIT data and knowledge are collected from different sources. The damage level estimation is based on mathematical models developed in the first part of the study (Akkouche et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Proposal for an Inspection Tool for Damaged Structures after Disasters

KARIM,

AGHILES,

LEYLA

2023

EPSTEM

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This study focuses on the development of a multifunctional Expert System (ES) called post-seismic damage inspection tool (PSDIT), a powerful tool which allows the evaluation, the processing and the archiving of the collected data stock after earthquakes. PSDIT can be operated by two user types; an ordinary user (engineer, expert or architect) for the damage visual inspection and an administrative user for updating the knowledge and / or for adding or removing the ordinary user. The knowledge acquisition is driven by a hierarchical knowledge model, the Information from investigation reports, and those acquired through feedback from expert / engineer questionnaires are part.

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Section: Knowledge Representationmentioning

confidence: 99%

“…The introduction of these models given by (Akkouche et al, 2019): for the estimation of the damage level and (Morgan et al, 2006)…”

Section: The Rulesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…PSDIT data and knowledge are collected from different sources. The damage level estimation is based on mathematical models developed in the first part of the study (Akkouche et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Proposal for an Inspection Tool for Damaged Structures after Disasters

KARIM,

AGHILES,

LEYLA

2023

EPSTEM

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“…Seismic vulnerability assessment for past earthquake in Northeast Algeria has been relatively newly initiated, starting on 1992 by Farsi and Belazougui ( 1992 ). The current work consists of regional and local studies, mainly based on seismic vulnerability assessments by (Bechtoula and Ousalem 2005 ; Laouami et al 2006 ; Harbi et al 2007a , 2007b ; Belazougui 2008 ; Hellel et al 2010 ; Meslem et al 2012 ; Mehani et al 2013 ; Boukri et al 2013 ; Remki and Benouar 2014 ; Hamidatou et al 2017 ; Chimouni et al 2018 ; Allali et al 2018 ; Hichem et al 2019 ; Akkouche 2019 ; Amari et al 2020 ). We know that the first major hazard that threatens the Mila region is landslide, in this case several studies have assessed landslides’ risk as well as earthquake-triggered landslides’ risk in the region (Marmi et al 2008 ; Atmania et al 2010 ; Guemache et al 2010 ; Semmane et al 2012 ; Merghadi et al 2018 ; Benfedda et al 2021 ; Tebbouche et al 2022 ; Smail et al 2022 ; Bounemeur et al 2022 ; Medhat et al 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Post-earthquake damage classification and assessment: case study of the residential buildings after the Mw = 5 earthquake in Mila city, Northeast Algeria on August 7, 2020

Hamidatou

Chaker

Hallal

et al. 2022

Bull Earthquake Eng

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On August 7th, 2020, a magnitude Mw = 5.0 earthquake shook 5 km north of Mila city center, northeast of Algeria, causing substantial damage directly to structures, and indirectly from induced impacts of landslides and rock falls, ultimately disrupt to everyday civilian life. Given the recent significant seismic occurrences in the region, a detailed and comprehensive examination and assessment of post-earthquake damage is critical to Algeria. This is primarily because masonry, concrete, and colonial-era structures are sensitive to horizontal motions caused by seismic waves, and because masonry and concrete structures constitute a substantial portion of today’s Algeria's build environment. We present a post-earthquake investigation of the Mila earthquake, starting from the earthquake source, and a catalogue of buildings type, damage categorization, and failure patterns of residential structures in Mila's historic old town, where colonial-era brick buildings prevail. We find that structures that represent notable architectural achievements were severely damaged as a result of the earthquake. Data acquired during the immediate post-earthquake analysis was also evaluated and discussed. The graphical representations of the damages are detailed and complemented by photos. This seismic event has shown the fragility of Algeria's building stock, which must be addressed properly in future years. This study reports on an overall estimate of residential buildings in Mila's lower city, as well as an evaluation of the seismic vulnerability of three neighborhood towns (El-Kherba, Grareme-Gouga, and Azzeba). A generic database for graphical surveys and geometric research was developed and implemented making it possible to evaluate the shear strength on-site. The broad observations, collated data, and consequences were then loaded into the 3Muri structural verification program. Nonlinear static analysis was conducted to analyze probable failure paths and compare the real damage to the software results.

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