科言猫
学术研究的AI总结
首页
文献互助
订阅
我的收藏
科研工具
选题分析
论文总结
专利管理
未登录
返回
S
Subodh V. Modak
indian institute of technology system (iit system)
17
H指数
70
论文数
872
被引数
0
相关解读
订阅
收录论文
22
发表时间
发表时间
IF
被引数
A two-stage approach to stochastic finite element model updating using FRF data
JOURNAL OF SOUND AND VIBRATION
IF
4.9
2023-06-01
9
PRE
AI
Panda, Asish Kumar; Modak, Subodh V.
分享
收藏
An FRF-based perturbation approach for stochastic updating of mass, stiffness and damping matrices
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF
8.9
2022-03-01
9
PRE
AI
Panda, Asish Kumar; Modak, Subodh, V
分享
收藏
Global active noise control in vibro-acoustic cavities using acoustic sensing
JOURNAL OF SOUND AND VIBRATION
IF
4.9
2019-09-01
5
PRE
AI
Puri, Amrita; Modak, Subodh, V; Gupta, Kshitij
分享
收藏
Global active control of harmonic noise in a vibro-acoustic cavity using Modal FxLMS algorithm
基于模态FxLMS算法的振动声腔谐波噪声全局主动控制
APPLIED ACOUSTICS
IF
3.6
2019-07-01
11
PRE
AI
Puri, Amrita; Modak, Subodh V.; Gupta, Kshitij
分享
收藏
Experimental studies in finite element model updating of vibro-acoustic cavities using coupled modal data and FRFs
APPLIED ACOUSTICS
IF
3.6
2019-07-01
10
PRE
AI
Nehete, D. V.; Modak, S. V.; Gupta, K.
分享
收藏
Modal filtered-x LMS algorithm for global active noise control in a vibro-acoustic cavity
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF
8.9
2018-09-01
18
PRE
AI
Puri, Amrita; Modak, Subodh V.; Gupta, Kshitij
分享
收藏
A two-stage approach to updating of mass, stiffness and damping matrices
更新质量,刚度和阻尼矩阵的两阶段方法
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
IF
9.4
2018-05-01
8
PRE
AI
Pradhan, Sharad; Modak, S., V
分享
收藏
Damping Matrix Identification by Finite Element Model Updating Using Frequency Response Data
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
IF
3.4
2017-01-08
13
PRE
AI
Pradhan, S.; Modak, S. V.
分享
收藏
Coupled vibro-acoustic model updating using frequency response functions
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF
8.9
2016-03-01
13
PRE
AI
Nehete, D. V.; Modak, S. V.; Gupta, K.
分享
收藏
Structural FE model updating of cavity systems incorporating vibro-acoustic coupling
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF
8.9
2015-01-01
19
PRE
AI
Nehete, D. V.; Modak, S. V.; Gupta, K.
分享
收藏
Model updating using uncorrelated modes
JOURNAL OF SOUND AND VIBRATION
IF
4.9
2014-05-01
22
PRE
AI
Modak, S. V.
分享
收藏
Model updating of rotors supported on ball bearings and its application in response prediction and balancing
MEASUREMENT
IF
5.6
2013-12-01
18
PRE
AI
Chouksey, M.; Dutt, J. K.; Modak, S. V.
分享
收藏
Separation of structural modes and harmonic frequencies in Operational Modal Analysis using random decrement
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF
8.9
2013-12-01
21
PRE
AI
Modak, S. V.
分享
收藏
A method for damping matrix identification using frequency response data
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF
8.9
2012-11-01
36
PRE
AI
Pradhan, S.; Modak, S. V.
分享
收藏
Normal response function method for mass and stiffness matrix updating using complex FRFs
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF
8.9
2012-10-01
43
PRE
AI
Pradhan, S.; Modak, S. V.
分享
收藏
Influence of a harmonic in the response on randomdec signature
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF
8.9
2011-10-01
7
PRE
AI
Modak, S. V.
分享
收藏
On improving weakly coupled cavity models for vibro-acoustic predictions and design
APPLIED ACOUSTICS
IF
3.6
2010-09-01
14
PRE
AI
Dhandole, S.; Modak, S. V.
分享
收藏
Harmonics elimination algorithm for operational modal analysis using random decrement technique
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
IF
8.9
2010-05-01
39
PRE
AI
Modak, S. V.; Rawal, Chetan; Kundra, T. K.
分享
收藏
Studies in dynamic design using updated models
JOURNAL OF SOUND AND VIBRATION
IF
4.9
2005-03-01
14
PRE
AI
Modak, SV; Kundra, TK; Nakra, BC
分享
收藏
Prediction of dynamic characteristics using updated finite element models
JOURNAL OF SOUND AND VIBRATION
IF
4.9
2002-07-01
45
PRE
AI
Modak, SV; Kundra, TK; Nakra, BC
分享
收藏
研究方向
暂时未获取到该数据
合作学者
合作期刊
K
Kapil Gupta
H 指数: 36 · 论文数: 247
J
J.K. Dutt
H 指数: 25 · 论文数: 104
S
Sharad K. Pradhan
H 指数: 14 · 论文数: 76
M
Manoj Chouksey
H 指数: 11 · 论文数: 36
A
Asish Kumar Panda
H 指数: 4 · 论文数: 9
查看更多