default author photo

Chin-Suk Hong

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

164

TOTAL CITATIONS

0

Scholarly Papers (3)

Actions:
Email selected abstracts
1.

Numerical Prediction of Flow-Induced Noise in a Simple Cavity Using Random Vibroacoustics and Acoustic–Structural Reciprocity

Downloads 76 (844,901)

Numerical Prediction of Flow-Induced Noise in a Simple Cavity Using Random Vibroacoustics and Acoustic–Structural Reciprocity

Number of pages: 45 Posted: 24 Jan 2025
Bon-Heon Ku, YoungWoo Lee, Chin-Suk Hong and HeeChang LIM
Pusan National University, Pusan National University, affiliation not provided to SSRN and Pusan National University
Downloads 49 (1,107,422)

Abstract:

Loading...

Wall Pressure Fluctuation, Corcos, Modified Smol'yakov-Tkachenko, Random Vibro-acoustics, Reciprocity principle

Numerical Prediction of Flow-Induced Noise in a Simple Cavity Using Random Vibroacoustics and Acoustic–Structural Reciprocity

Number of pages: 45 Posted: 24 Jan 2025
Bon-Heon Ku, YoungWoo Lee, Chin-Suk Hong and HeeChang LIM
Pusan National University, Pusan National University, affiliation not provided to SSRN and Pusan National University
Downloads 27 (1,415,710)

Abstract:

Loading...

Wall Pressure Fluctuation, Corcos, Modified Smol'yakov-Tkachenko, Random Vibro-acoustics, Reciprocity principle

2.

Prediction of Transfer Functions in Structural-Acoustic Coupling Models Using Convolutional Autoencoders

Number of pages: 27 Posted: 07 Nov 2024
Yongqiang Qu, Linqi Yu, Bon-Heon Ku, Meng Zhang, Mustafa Z. Yousif, Chin-Suk Hong, Jung Sub Lee and Hee-Chang Lim
Pusan National University, Pusan National University, Pusan National University, Pusan National University, Pusan National University, affiliation not provided to SSRN, Pusan National University - Pusan National University Hospital and Pusan National University, South Korea
Downloads 55 (1,010,164)

Abstract:

Loading...

Deep Learning, Convolutional Autoencoder, Transfer Functions, Structure-acoustic coupling, Predictive Modeling

3.

Prediction of Transfer Functions in Structural-Acoustic Coupling Models Using Convolutional Autoencoders

Number of pages: 27 Posted: 27 Mar 2025
Linqi Yu, Meng Zhang, Yongqiang Qu, Mustafa Yousif, Chin-Suk Hong, Jung Sub Lee and HeeChang LIM
Pusan National University, Pusan National University, Pusan National University, Pusan National University, affiliation not provided to SSRN, Pusan National University - Pusan National University Hospital and Pusan National University
Downloads 33 (1,304,549)

Abstract:

Loading...

Deep learning, Convolutional neural networks, Transfer functions, Structure-acoustic coupling, Predictive modeling