Effect of identification on seismic performance assessment of a tall building

Kaynardağ, Korkut; Soyöz, Serdar

doi:10.1007/s10518-015-9836-9

Cited by 6 publications

(4 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Finite element modelling (FEM) method deals with condensation of superstructure model to a single degree of freedom oscillator, which represents a basic design quality like the top storey displacement [4]. In reference [1], sixteen accelerometers were adopted to determine how the structure responds to vibration. At the base of the structure the accelerometers are set to threshold value to capture earthquake response.…”

Section: State Of Development In Shmmentioning

confidence: 99%

“…FEM is created in software platform and FEM updating was performed. It was observed that the damping diminishes with the increase in height of the structure [1].…”

Section: State Of Development In Shmmentioning

confidence: 99%

“…Energy conservation can also be increased by efficient monitoring of the structure. In recent times, construction of tall buildings is increasing due to lack of adequate construction sites and it has become a dominant means of accommodation in metropolitan cities for business where economy and population grow fast [1]. This makes the SHM crucial.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Brief Review on Smart Structural Health Monitoring Technologies

Nirupama,

Raghavendra,

Shahanawaz

et al. 2023

Recent Experimental and Computational Research in Structural Engineering

View full text Add to dashboard Cite

Structural Health Monitoring (SHM) is a method to determine the current status of the structure and the damages in the structural elements with minimum labour involvement. Structural health deteriorates over time and depends on loading on the structure and environmental conditions. Therefore, SHM is essential for safety and durability of structures. This chapter deals with different sensing methods like Global Positioning System (GPS) and Internet of Things (IoT) for monitoring the structural health. Application of different sensors like fibre optic sensors, magneto-strictive sensors, piezoelectric sensors and self-diagnosing fibre reinforced composites is involved in the smart sensing technologies. Their merits and demerits of are also mentioned in this chapter.

show abstract

Section: State Of Development In Shmmentioning

confidence: 99%

“…FEM is created in software platform and FEM updating was performed. It was observed that the damping diminishes with the increase in height of the structure [1].…”

Section: State Of Development In Shmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Brief Review on Smart Structural Health Monitoring Technologies

Nirupama,

Raghavendra,

Shahanawaz

et al. 2023

Recent Experimental and Computational Research in Structural Engineering

View full text Add to dashboard Cite

show abstract

“…4.5-9 A damage detection/classification and future reliability prediction solution that uses acceleration measurements combined with structural model updating and nonlinear time history analysis to establish the probabilities of correct and incorrect classification of structural state based on the indication from the SHM system is proposed here by extending the earlier work of Soyoz and his collaborators (Soyoz et al, 2010, Kaynardag & Soyoz, 2015Özer & Soyoz, 2015). The approach adopted comprises the following steps:…”

Section: 5-7mentioning

confidence: 99%

Quantifying the value of SHM for emergency management of bridges at-risk from seismic damage based on their performance indicators

Omenzetter¹,

Yazgan²,

Soyöz³

et al. 2017

Proceedings of the Joint COST TU1402 - COST TU1406 - IABSE WC1 Workshop: The Value of Structural Health Monitoring for the Reli

Self Cite

View full text Add to dashboard Cite

Abstract. This paper proposes a framework for quantifying the value of information that can be derived from a structural health monitoring (SHM) system installed on a bridge which may sustain damage in the mainshock of an earthquake and further damage in an aftershock. The pre-posterior Bayesian analysis and the decision tree are the two main tools employed. The evolution of the damage state of the bridge with an SHM system is cast as a time-dependent, stochastic, discrete-state, observable dynamical system. An optimality problem is then formulated how to decide on the adoption of SHM and how to manage traffic and usage of a possibly damaged structure using the information from SHM. The objective function is the expected total cost or risk. The paper then discusses how to quantify bridge damage probability through stochastic seismic hazard and fragility analysis, how to update these probabilities using SHM technologies, and how to quantify bridge failure consequences.

show abstract

Model Updating Techniques for Structures Under Seismic Excitation

Soyöz

2019

Seismic Structural Health Monitoring

View full text Add to dashboard Cite

Effect of identification on seismic performance assessment of a tall building

Cited by 6 publications

References 30 publications

A Brief Review on Smart Structural Health Monitoring Technologies

A Brief Review on Smart Structural Health Monitoring Technologies

Quantifying the value of SHM for emergency management of bridges at-risk from seismic damage based on their performance indicators

Model Updating Techniques for Structures Under Seismic Excitation

Contact Info

Product

Resources

About