Evaluation of seismic vulnerability of a complex RC existing building by linear and nonlinear modeling approaches

The paper deals with the retrofitting of r/c buildings damaged by the earthquake adopting the base-isolation. The case of one building is analyzed in detail. The seismic vulnerability of the building in the original configuration is assessed. A classification of the possible conventional works concerning repair, retrofit, seismic enhancement is carried out dealing with the structural effectiveness, impact, control in application and lifetime, related indirect works, cost. The main result is a tentative classification of the issues related to the insertion of a base-isolation system below an existing building aimed at its seismic enhancement, avoiding or relied strongly limiting other works in the building elevation. The retrofitting strategies, the enhancement levels, the application solutions are critically revised statement under the experience of the real cases faced with, also paying attention to the cost-effectiveness ratios.

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Comparison of curved prestressed concrete bridge population response between area and spine modeling approaches toward efficient seismic vulnerability analysis

Engineering Structures ◽

10.1016/j.engstruct.2017.07.033 ◽

2017 ◽

Vol 150 ◽

pp. 176-189 ◽

Cited By ~ 13

Author(s):

Junwon Seo ◽

Luke P. Rogers

Keyword(s):

Prestressed Concrete ◽

Seismic Vulnerability ◽

Vulnerability Analysis ◽

Concrete Bridge ◽

Population Response ◽

Modeling Approaches ◽

Seismic Vulnerability Analysis ◽

Prestressed Concrete Bridge ◽

Spine Modeling

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Seismic Vulnerability Assessment of Existing Building Stocks at Chandgaon in Chittagong City, Bangladesh

American Journal of Civil Engineering ◽

10.11648/j.ajce.20150301.11 ◽

2015 ◽

Vol 3 (1) ◽

pp. 1 ◽

Cited By ~ 4

Author(s):

Atik Sarraz

Keyword(s):

Vulnerability Assessment ◽

Seismic Vulnerability ◽

Seismic Vulnerability Assessment ◽

Existing Building

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LINEAR AND NONLINEAR ARX MODEL FOR INTELLIGENT PNEUMATIC ACTUATOR SYSTEMS

Jurnal Teknologi ◽

10.11113/jt.v78.5419 ◽

2016 ◽

Vol 78 (6) ◽

Author(s):

Siti Fatimah Sulaiman ◽

M. F. Rahmat ◽

A. A. M. Faudzi ◽

Khairuddin Osman

Keyword(s):

Dynamic Behavior ◽

Systems Engineering ◽

Position Control ◽

System Modeling ◽

Nonlinear Modeling ◽

Pneumatic Actuator ◽

Arx Model ◽

Control Systems Engineering ◽

Nonlinear Mathematical Models ◽

Linear And Nonlinear

System modeling in describing the dynamic behavior of the system is very important and can be considered as a challenging problem in control systems engineering. This article presents the linear and nonlinear approaches using AutoRegressive with Exogenous Input (ARX) model structure for the modeling of position control of an Intelligent Pneumatic Actuator (IPA) system. The input and output data of the system were obtained from real-time experiment conducted while the linear and nonlinear mathematical models of the system were obtained using system identification (SI) technique. Best fit and Akaike’s criteria were used to validate the models. The results based on simulation reveals that nonlinear ARX (NARX) had the best performance for the modeling of position control of IPA system. The results show that nonlinear modeling is an effective way of analyzing and describing the dynamic behavior and characteristics of IPA system. This approach is also expected to be able to be applied to other systems. A future study exploring the execution of other model structures in demonstrating the position control of IPA system would be exceptionally intriguing.

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