Sang Ho Park
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
Sang Ho Park has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Sang-Ho Lee
Department of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea
2 shared publications Doohyun Yoon
1 shared publicationJun Tae Kang
Department of Organic and Nano Engineering, College of Engineering, Hanyang University, Seoul, Korea
1 shared publicationSang I. Park
Department of Civil and Environmental Engineering, Yonsei University, Seoul, Korea
1 shared publication- Sanghun Kim
Department of Civil & Environmental Engineering, Temple University, Philadelphia, PA 19122, USA
1 shared publication - Seong Hun Kim
Department of Organic and Nano Engineering Hanyang University Seoul Republic of Korea
1 shared publication
Latest Publications
- 1 October 2021
- Published by Elsevier in Structures
- Vol. 33, 1819-1832
Deep neural network applied to joint shear strength for exterior RC beam-column joints affected by cyclic loadings
- 1 October 2021
- Published by Elsevier in Structures
- Vol. 33, 1819-1832
Deep neural network applied to joint shear strength for exterior RC beam-column joints affected by cyclic loadings
- 3 August 2021
- Published by Springer Nature in Journal of Civil Structural Health Monitoring
- Vol. 11 (5) , 1301-1319
Building information modeling-based bridge health monitoring for anomaly detection under complex loading conditions using artificial neural networks
- 3 August 2021
- Published by Springer Nature in Journal of Civil Structural Health Monitoring
- Vol. 11 (5) , 1301-1319
Building information modeling-based bridge health monitoring for anomaly detection under complex loading conditions using artificial neural networks
- Open Access
- 17 December 2019
- Published by MDPI AG in ISPRS International Journal of Geo-Information
- Vol. 8 (12) , 588
CityGML-Based Road Information Model for Route Optimization of Snow-Removal Vehicle
Infrastructure usability becomes limited during a heavy snowfall event. In order to prevent such limitations, damage calculations and a decision-making process are needed. Snow-removal routing is a type of relevant disaster-prevention service. While three-dimensional (3D) models support these measures, they contain complex information regarding compatibility. This study generates a city-level semantic information model for roads using CityGML, an open standard data schema, and calculates the optimal snow removal route using this model. To this end, constraint conditions are analyzed from the viewpoint of a snow-removal vehicle, and a road network for an optimal route is applied to a 3D road information model. Furthermore, this study proposes a new algorithm that reduces the number of nodes used in the optimal route calculation, and a genetic algorithm is used to find the solution of the formulated objective function. This new algorithm reduces the number of nodes to less than two-thirds that of the original numbers when determining the optimal travel route for snow-removal vehicles in the target area.
- 17 December 2019
- Published by MDPI AG in ISPRS International Journal of Geo-Information
- Vol. 8 (12) , 588
Open AccessCityGML-Based Road Information Model for Route Optimization of Snow-Removal Vehicle
Infrastructure usability becomes limited during a heavy snowfall event. In order to prevent such limitations, damage calculations and a decision-making process are needed. Snow-removal routing is a type of relevant disaster-prevention service. While three-dimensional (3D) models support these measures, they contain complex information regarding compatibility. This study generates a city-level semantic information model for roads using CityGML, an open standard data schema, and calculates the optimal snow removal route using this model. To this end, constraint conditions are analyzed from the viewpoint of a snow-removal vehicle, and a road network for an optimal route is applied to a 3D road information model. Furthermore, this study proposes a new algorithm that reduces the number of nodes used in the optimal route calculation, and a genetic algorithm is used to find the solution of the formulated objective function. This new algorithm reduces the number of nodes to less than two-thirds that of the original numbers when determining the optimal travel route for snow-removal vehicles in the target area.
- 13 September 2013
- Published by SAGE Publications in Journal of Composite Materials
- Vol. 48 (21) , 2567-2577
Improvement in the adhesion of bamboo fiber reinforced polylactide composites
Polylactide composites containing bamboo fiber treated with various coupling agents were prepared using melt compounding. 3aminopropyltriethoxysilane, vinyltrimethoxysilane, maleic anhydride, and acrylic acid were used as the coupling agents to improve the mechanical properties of polylactide and bamboo fiber composites. In addition, to investigate the effect of fiber diameter on mechanical properties, either split bamboo fiber or fibrillar bamboo fiber was used as reinforcement. The composites containing split bamboo fiber treated with 3aminopropyltriethoxysilane and acrylic acid exhibited the highest tensile strength of all composites prepared. In addition, the composites containing fibrillar bamboo fiber showed a marked improvement in tensile strength. To investigate the biodegradability of the composites, an enzymatic degradation test was performed using Proteinase K, a commonly used enzyme for polylactide degradation. All the polylactide composites containing bamboo fiber, regardless of which coupling agent was applied, showed a similar trend in enzymatic degradation to that of neat polylactide.
- 13 September 2013
- Published by SAGE Publications in Journal of Composite Materials
- Vol. 48 (21) , 2567-2577
Improvement in the adhesion of bamboo fiber reinforced polylactide composites
Polylactide composites containing bamboo fiber treated with various coupling agents were prepared using melt compounding. 3aminopropyltriethoxysilane, vinyltrimethoxysilane, maleic anhydride, and acrylic acid were used as the coupling agents to improve the mechanical properties of polylactide and bamboo fiber composites. In addition, to investigate the effect of fiber diameter on mechanical properties, either split bamboo fiber or fibrillar bamboo fiber was used as reinforcement. The composites containing split bamboo fiber treated with 3aminopropyltriethoxysilane and acrylic acid exhibited the highest tensile strength of all composites prepared. In addition, the composites containing fibrillar bamboo fiber showed a marked improvement in tensile strength. To investigate the biodegradability of the composites, an enzymatic degradation test was performed using Proteinase K, a commonly used enzyme for polylactide degradation. All the polylactide composites containing bamboo fiber, regardless of which coupling agent was applied, showed a similar trend in enzymatic degradation to that of neat polylactide.