Abstract

Concrete compressive strength is an important parameter of material properties for assessing seismic performance of reinforced concrete (RC) structures, which has a certain level of uncertainty due to its inherent variability. In this paper, the method of concrete strength validation of finite element model using smart aggregate (SA)-based stress monitoring is proposed. The FE model was established using Open System for Earthquake Engineering Simulation (OpenSEES) platform. The concrete strengths obtained from the material test, peak stress of SA, and estimated concrete strength based on SA stress were employed in FE models. The lateral displacement monitored by Liner variable differential transformer and vertical axial load monitored by load cell in the experiment are applied in the model. By comparing the global response (i.e., lateral reaction force and hysteretic loop), local response (i.e., concrete stress, rebar strain, and cross-section moment) and corresponding root-mean-square error obtained from experiment and numerical analysis, the capabilities of validation of FE model using SA-based stress monitoring method were demonstrated.

Highlights

  • The assessment of seismic performance of the existing infrastructures is a matter of high priority in earthquake prone areas

  • Buildings, concrete compressive strength has emerged as an important material property that requires careful consideration because it directly relates to durability and strength of reinforced concrete (RC) structure

  • We report on a feasibility study of concrete compressive strength validation of FE

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Summary

Introduction

The assessment of seismic performance of the existing infrastructures is a matter of high priority in earthquake prone areas. The hardness test can be conducted using rebound hammer based on the principle that the rebound of an elastic mass depends on the hardness of concrete surface against which the mass impinges [18] This method only reflects limited depth close to the concrete surface [19]. UPV measurement are based on the use of a pair of external piezoelectric transducers (i.e., transmitter and receiver) held on the surface of concrete to measure the pulse velocity along the transmitting path [15]. This method faces the problem of the unstable coupling between external transducer and concrete surface [21]. The global and local response, and corresponding root-mean-square error were compared

SA Sensor
Description of the Finite Element Model
Description of the Finite Element Model neglected in the
SAVposition
Section and Material Properties
Concrete Strength Selection
Loading Scheme
Lateral Load
Hysteretic Loop
Hysteretic
Local Response
Concrete Stress
Rebar Strain
Cross-Section Moment
Error Analysis
Global Response
13. Root-mean-square error of concrete at location the location
14. Root-mean-square
Conclusions
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