Hyo Seon Park
- Constraint‐aware optimization model for plane truss structures via single‐agent gradient descent. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 18 (septembre 2024). (2024):
- CNN-based model updating for structures by direct use of dynamic structural response measurements. Dans: Engineering Structures, v. 307 (mai 2024). (2024):
- Automated reconstruction model of a cross‐sectional drawing from stereo photographs based on deep learning. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 3 (août 2023). (2023):
- Design and performance evaluation of steel beam members with plate‐type locally resonant metamaterials for vibration control. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 12 (mai 2023). (2023):
- Development and practical application of locally resonant metamaterials for attenuation of noise and flexural vibration of floors in residential buildings. Dans: Journal of Building Engineering, v. 57 (octobre 2022). (2022):
- Damage detection of building structures under ambient excitation through the analysis of the relationship between the modal participation ratio and story stiffness. Dans: Journal of Sound and Vibration, v. 418 (mars 2018). (2018):
- An automatic decision model for optimal noise barrier plan in terms of health impact, productivity, and cost aspects. Dans: Building and Environment, v. 216 (mai 2022). (2022):
- Construction noise rating based on legal and health impacts. Dans: Automation in Construction, v. 134 (février 2022). (2022):
- Development of a prediction model for the proportion of buildings exposed to construction noise in excess of the construction noise regulation at urban construction sites. Dans: Automation in Construction, v. 125 (mai 2021). (2021):
- Convolutional neural network–based data recovery method for structural health monitoring. Dans: Structural Health Monitoring, v. 19, n. 6 (décembre 2019). (2019):
- Comparative analysis of decision-making methods for integrating cost and CO2 emission – focus on building structural design –. Dans: Energy and Buildings, v. 72 (avril 2014). (2014):
- Design model for analysis of relationships among CO 2 emissions, cost, and structural parameters in green building construction with composite columns. Dans: Energy and Buildings, v. 118 (avril 2016). (2016):
- Design technology based on resizing method for reduction of costs and carbon dioxide emissions of high-rise buildings. Dans: Energy and Buildings, v. 138 (mars 2017). (2017):
- Damage localization method for building structures based on the interrelation of dynamic displacement measurements using convolutional neural network. Dans: Structural Control and Health Monitoring, v. 27, n. 8 (7 juillet 2020). (2020):
- Analytical Model for Estimation of Maximum Normal Stress in Steel Beam-Columns Based on Wireless Measurement of Average Strains from Vibrating Wire Strain Gages. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 28, n. 9 (septembre 2013). (2013):
- Convolutional neural network‐based wind‐induced response estimation model for tall buildings. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 34, n. 10 (8 septembre 2019). (2019):
- Conversion Method for Obtaining CO2 Emission Data from the Life Cycle Inventory Database of Foreign Countries. Dans: Journal of Management in Engineering (ASCE), v. 31, n. 4 (juillet 2015). (2015):
- Analytical Models for Estimation of the Maximum Strain of Beam Structures Based on Optical Fiber Bragg Grating Sensors. Dans: Journal of Civil Engineering and Management, v. 22, n. 1 (décembre 2015). (2015):
- Dynamic displacements-based model updating with motion capture system. Dans: Structural Control and Health Monitoring, v. 24, n. 4 (avril 2017). (2017):
- Data Parallel Neural Dynamics Model for Integrated Design of Large Steel Structures. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 12, n. 5 (septembre 1997). (1997):
- Distributed Structural Analysis of Large-Scale Structures on a Cluster of Personal Computers. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 17, n. 6 (novembre 2002). (2002):
- Development and application of a wireless MEMS-based borehole inclinometer for automated measurement of ground movement. Dans: Automation in Construction, v. 87 (mars 2018). (2018):
- Counterpropagation Neural Networks in Structural Engineering. Dans: Journal of Structural Engineering (ASCE), v. 121, n. 8 (août 1995). (1995):
- Distributed Neural Dynamics Algorithms for Optimization of Large Steel Structures. Dans: Journal of Structural Engineering (ASCE), v. 123, n. 7 (juillet 1997). (1997):
- Distributed Hybrid Genetic Algorithms for Structural Optimization on a PC Cluster. Dans: Journal of Structural Engineering (ASCE), v. 132, n. 12 (décembre 2006). (2006):
- Development of drift design model for high‐rise buildings subjected to lateral and vertical loads. Dans: The Structural Design of Tall and Special Buildings, v. 17, n. 2 (juin 2008). (2008):
- Drift design model for high-rise buildings based on resizing algorithm with a weight control factor. Dans: The Structural Design of Tall and Special Buildings, v. 17, n. 3 (septembre 2008). (2008):
- Application of GPS to monitoring of wind-induced responses of high-rise buildings. Dans: The Structural Design of Tall and Special Buildings, v. 17, n. 1 (mars 2008). (2008):
- Drift design of steel-frame shear-wall systems for tall buildings. Dans: The Structural Design of Tall Buildings, v. 11, n. 1 ( 2002). (2002):
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Drift Control of High-Rise Buildings with Unit Load Method. Dans: The Structural Design of Tall Buildings, v. 6, n. 1 ( 1997).
https://doi.org/10.1002/(SICI)1099-1794(199703)6:1<23::AID-TAL80>3.0.CO;2-1
(1997):