Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Dynamic Performance Evaluation of Machine Foundations Using Multi-approach Investigation
by
Surapreddi, Sreyashrao
, Das, Gobinda
, Ghosh, Priyanka
in
Artificial neural networks
/ Civil Engineering
/ Configuration management
/ Damping ratio
/ Design optimization
/ Dynamic response
/ Engineering
/ Footings
/ Machine foundations
/ Performance evaluation
/ Research Paper
/ Vibration tests
2024
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Dynamic Performance Evaluation of Machine Foundations Using Multi-approach Investigation
by
Surapreddi, Sreyashrao
, Das, Gobinda
, Ghosh, Priyanka
in
Artificial neural networks
/ Civil Engineering
/ Configuration management
/ Damping ratio
/ Design optimization
/ Dynamic response
/ Engineering
/ Footings
/ Machine foundations
/ Performance evaluation
/ Research Paper
/ Vibration tests
2024
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Dynamic Performance Evaluation of Machine Foundations Using Multi-approach Investigation
by
Surapreddi, Sreyashrao
, Das, Gobinda
, Ghosh, Priyanka
in
Artificial neural networks
/ Civil Engineering
/ Configuration management
/ Damping ratio
/ Design optimization
/ Dynamic response
/ Engineering
/ Footings
/ Machine foundations
/ Performance evaluation
/ Research Paper
/ Vibration tests
2024
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Dynamic Performance Evaluation of Machine Foundations Using Multi-approach Investigation
Journal Article
Dynamic Performance Evaluation of Machine Foundations Using Multi-approach Investigation
2024
Request Book From Autostore
and Choose the Collection Method
Overview
The current investigation examines the influence of footing shape, the base area of footing (
A
), the mass of footing-machine assembly (
m
), and eccentric force settings (
m
e
e
) on the dynamic response and performance of machine foundation systems. Five different footing configurations are employed to perform field block vibration tests involving three square, one circular and one rectangular footing. The experiments are performed at the geotechnical field laboratory of IIT Kanpur, India (N26°30′59.0892″, E80°13′51.6888″). The accuracy and reliability of the experimental results are endorsed by the results obtained from the mass-spring-dashpot (MSD) analysis. In addition, an artificial neural network (ANN) model is created to anticipate the dynamic behaviour of the soil-foundation system. A thorough parametric study demonstrates the efficacy of the developed ANN model. It is revealed from the investigation that the stiffness (
k
) and the damping ratio (
D
) of the soil for square foundations increase by 7% and 3%, respectively, with a 40% increase in
A
. Similarly, the circular foundation exhibits 7 and 3% higher
k
and 4 and 3% higher
D
than those obtained for square and rectangular foundations, respectively. For square foundations, a 24% enhancement in
m
leads to a 42 and 4% increase in
k
and
D
, respectively. In contrast, for circular and rectangular foundations, a 13% increase in
m
results in a 27 and 19% increase in
k
and
D
, respectively. In this study, experimental testing, analytical validation, and ANN modelling provide insight into the response of machine foundations under various operating conditions. The results of this study can be utilized to optimize the design of machine foundations.
Publisher
Springer International Publishing,Springer Nature B.V
This website uses cookies to ensure you get the best experience on our website.