Kai H. Hsieh
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Kai H. Hsieh has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Baochun Chen
College of Civil Engineering, Fuzhou University, Fuzhou 350108, China
1 shared publication Marc J. Robinson
Assistant Research Fellow, College of Civil Engineering, Fuzhou Univ., 2 Xue Yuan Road, University Town, Fuzhou, Fuijian 350108, China
1 shared publication- Marvin W. Halling
Department of Civil and Environmental Engineering, Utah State University, 4110 Old Main Hill, Logan, UT 84332-4110, USA
1 shared publication - Marvin W. Halling
Professor, Dept. of Civil and Environmental Engineering, Utah State Univ., 4110 Old Main Hill, Logan, UT 84332-4110
1 shared publication - Paul J. Barr
Assistant Professor, Dept. of Civil and Environmental Engineering, Utah State Univ., 4110 Old Main Hill, Logan, UT 84332-4110
1 shared publication - Paul J. Barr
Professor, Dept. of Civil and Environmental Engineering, Utah State Univ., 4110 Old Main Hill, Logan, UT 84332-4110
1 shared publication
Latest Publications
- 1 June 2011
- Published by American Society of Civil Engineers (ASCE) in Journal of Structural Engineering
- Vol. 137 (6) , 635-645
Experimental and Analytical Investigation of Concrete Filled Steel Tubular Columns
In this paper, an experimental and analytical investigation of concrete-filled steel tubular (CFST) laced columns is presented. These columns consist of four concrete-filled steel tubes that are laced together. A total of 27 experimental tests were conducted to quantify the column failure mechanism at ultimate loads. The experiments were designed to obtain the load-deflection curves. These curves were subsequently used to quantify the structural behavior for each element of the hybrid column. Experimental results indicate that the compression force in the longitudinal members dominated the failure mechanism in the CFST columns. In-plane bending occurred when member segments reached the compression failure load. The forces in the lacing members (diagonal and horizontal bracing) were found to be small and remained in the elastic range through failure. The experimental study was used to validate an analytical parametric study. The analytical study showed that increasing slenderness ratios and eccentricities ...
- 1 June 2011
- Published by American Society of Civil Engineers (ASCE) in Journal of Structural Engineering
- Vol. 137 (6) , 635-645
Experimental and Analytical Investigation of Concrete Filled Steel Tubular Columns
In this paper, an experimental and analytical investigation of concrete-filled steel tubular (CFST) laced columns is presented. These columns consist of four concrete-filled steel tubes that are laced together. A total of 27 experimental tests were conducted to quantify the column failure mechanism at ultimate loads. The experiments were designed to obtain the load-deflection curves. These curves were subsequently used to quantify the structural behavior for each element of the hybrid column. Experimental results indicate that the compression force in the longitudinal members dominated the failure mechanism in the CFST columns. In-plane bending occurred when member segments reached the compression failure load. The forces in the lacing members (diagonal and horizontal bracing) were found to be small and remained in the elastic range through failure. The experimental study was used to validate an analytical parametric study. The analytical study showed that increasing slenderness ratios and eccentricities ...
- 1 August 2008
- Published by American Society of Civil Engineers (ASCE) in Journal of Performance of Constructed Facilities
- Vol. 22 (4) , 238-244
Structural Damage Detection Using Dynamic Properties Determined from Laboratory and Field Testing
Studies have shown that experimentally determined dynamic properties can be used to identify the characteristics of a structure. In this paper, a damage detection technique is developed and demonstrated using system identification, finite-element modeling, and a modal update process. The proposed approach, SFM, provides a rapid estimate of damage locations and magnitudes. The proposed methodology is applied to three case studies. The first is a numerical simulation using computer generated data. The second is an ASCE benchmark problem for structural health monitoring, where the results can be compared to other researchers. The third is a full-scale highway bridge that was field tested using a forced vibration shaking machine. In this case study, the bridge was shaken in several states of damage and the proposed methodology was utilized to detect and determine the location and extent of the damage. It was found that, using the collected data, the SFM approach was able to consistently predict the location of damage as well as estimate the magnitude of the damage.
- 1 August 2008
- Published by American Society of Civil Engineers (ASCE) in Journal of Performance of Constructed Facilities
- Vol. 22 (4) , 238-244
Structural Damage Detection Using Dynamic Properties Determined from Laboratory and Field Testing
Studies have shown that experimentally determined dynamic properties can be used to identify the characteristics of a structure. In this paper, a damage detection technique is developed and demonstrated using system identification, finite-element modeling, and a modal update process. The proposed approach, SFM, provides a rapid estimate of damage locations and magnitudes. The proposed methodology is applied to three case studies. The first is a numerical simulation using computer generated data. The second is an ASCE benchmark problem for structural health monitoring, where the results can be compared to other researchers. The third is a full-scale highway bridge that was field tested using a forced vibration shaking machine. In this case study, the bridge was shaken in several states of damage and the proposed methodology was utilized to detect and determine the location and extent of the damage. It was found that, using the collected data, the SFM approach was able to consistently predict the location of damage as well as estimate the magnitude of the damage.