Hardware-software system for simulating and analyzing earthquakes applied to civil structures

Abstract. The occurrence of recent strong earthquakes, the incessant worldwide movements of tectonic plates and the continuous ambient vibrations caused by traffic and wind have increased the interest of researchers in improving the capacity of energy dissipation to avoid damages to civil structures. Experimental testing of structural systems is essential for the understanding of physical behaviors and the building of appropriate analytic models in order to expose difficulties that may not have been considered in analytical studies. This paper presents a hardware-software system for exciting, monitoring and analyzing simultaneously a structure under earthquake signals and other types of signals in real-time. Effectiveness of the proposed system has been validated by experimental case studies and has been found to be a useful tool in the analysis of earthquake effects on structures.

[1]  Ángel SAN BARTOLOME,et al.  EFFECTIVE SYSTEM FOR SEISMIC REINFORCEMENT OF ADOBE HOUSES , 2002 .

[2]  Aleksandar Pavic,et al.  Modal testing of a sports stadium , 2002 .

[3]  Wei-Xin Ren,et al.  Experimental and analytical studies on dynamic characteristics of a large span cable-stayed bridge , 2005 .

[4]  Ion Stiharu,et al.  Modeling and application of MR dampers in semi-adaptive structures , 2008 .

[5]  Ibrahim Z. and Reynolds P. Modal Testing of a Cantilever Grandstand , 2008 .

[6]  Jesus Roberto Millan-Almaraz,et al.  Detection of ULF geomagnetic signals associated with seismic events in Central Mexico using Discrete Wavelet Transform , 2010 .

[7]  Xian-wei Zeng,et al.  Corresponding relationships between nodes of decomposition tree of wavelet packet and frequency bands of signal subspace , 2008 .

[8]  Rene de Jesus Romero-Troncoso,et al.  Determination of system frequencies in mechanical systems during shutdown transient , 2010 .

[9]  Mahmoud Reda Taha,et al.  A Neural-Wavelet Technique for Damage Identification in the ASCE Benchmark Structure Using Phase II Experimental Data , 2010 .

[10]  Piotr Omenzetter,et al.  Assessment of highway bridge upgrading by dynamic testing and finite element model updating , 2003 .

[11]  Ahsan Kareem,et al.  Applications of wavelet transforms in earthquake, wind and ocean engineering , 1999 .

[12]  Satish Nagarajaiah,et al.  Adaptive passive, semiactive, smart tuned mass dampers: identification and control using empirical mode decomposition, hilbert transform, and short‐term fourier transform , 2009, Structural Control and Health Monitoring.

[13]  Wei-Xin Ren,et al.  Wavelet packet based damage identification of beam structures , 2005 .

[14]  Narutoshi Nakata,et al.  Acceleration trajectory tracking control for earthquake simulators , 2010 .

[15]  Luis E. Suarez,et al.  Applications of wavelet transforms to damage detection in frame structures , 2004 .

[16]  Yl L. Xu,et al.  Evaluation of atmospheric corrosion damage to steel space structures in coastal areas , 2005 .

[17]  Tong Zhao,et al.  Experimental and Analytical Modal Analysis of Steel Arch Bridge , 2004 .

[18]  Eduardo Cabal-Yepez,et al.  FPGA-Based Vibration Analyzer for Continuous CNC Machinery Monitoring With Fused FFT-DWT Signal Processing , 2010, IEEE Transactions on Instrumentation and Measurement.

[19]  John W. van de Lindt,et al.  Shake Table Testing of a Superelastic Shape Memory Alloy Response Modification Device in a Wood Shearwall , 2008 .

[20]  Reginald DesRoches,et al.  Large scale testing of nitinol shape memory alloy devices for retrofitting of bridges , 2008 .

[21]  S. Mallat VI – Wavelet zoom , 1999 .

[22]  Paul Reynolds,et al.  Modal testing and FE model tuning of a lively footbridge structure , 2006 .

[23]  G. Espinosa-Flores-Verdad,et al.  Phase accumulator synthesis algorithm for DDS applications , 1999 .

[24]  Satish Nagarajaiah,et al.  Output only modal identification and structural damage detection using time frequency & wavelet techniques , 2009 .

[25]  Donatello Cardone,et al.  Theoretical and Experimental Studies for the Application of Shape Memory Alloys in Civil Engineering , 2006 .

[26]  Hasan Husnu Korkmaz,et al.  Shaking table tests on strengthening of masonry structures against earthquake hazard , 2010 .

[27]  John G. Proakis,et al.  Digital Signal Processing 4th Edition , 2006 .

[28]  Aboelmagd Noureldin,et al.  Wavelet Transform for Structural Health Monitoring: A Compendium of Uses and Features , 2006 .

[29]  K. Muthumani,et al.  Seismic performance evaluation methodologies for civil engineering structures , 2009 .

[30]  S. Mallat A wavelet tour of signal processing , 1998 .

[31]  Mehmet Kamanli,et al.  The behaviour of roof gable walls under the effect of earthquake load , 2010 .

[32]  Chih-Chen Chang,et al.  Structural Damage Assessment Based on Wavelet Packet Transform , 2002 .