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H2020_RISE_RISEN
Kaewunruen, Sakdirat
(Principal Investigator)
Civil Engineering
Overview
Fingerprint
Research output
(16)
Project Details
Short title
H2020_RISE_RISEN
Status
Finished
Effective start/end date
1/04/16
→
30/09/21
Funding
European Commission - Management Costs
European Commission
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Machine learning
Engineering & Materials Science
100%
Digital twin
Engineering & Materials Science
66%
German Federal Railways
Social Sciences
56%
railway
Earth & Environmental Sciences
51%
Rails
Engineering & Materials Science
51%
Bridge bearings
Engineering & Materials Science
36%
Silk
Engineering & Materials Science
30%
Self healing concrete
Engineering & Materials Science
29%
Research output
Research output per year
2020
2022
2022
15
Article
1
Comment/debate
Research output per year
Research output per year
Compression behaviour of an extremely lightweight structure with a gyroid core used for bridge bearings
Sengsri, P.
&
Kaewunruen, S.
,
16 Aug 2022
,
In:
Materials Today: Proceedings.
65
,
2
,
p. 1656-1659
4 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Bridge bearings
100%
Bearing
70%
Stress concentration
40%
Failure modes
27%
Energy absorption
16%
5
Downloads (Pure)
Digital twin aided sustainability assessment of modern light rail infrastructures
Borjigin, A. O. B.
,
Sresakoolchai, J.
,
Kaewunruen, S.
&
Hammond, J.
,
11 Jul 2022
,
In:
Frontiers in Built Environment.
8
,
12 p.
, 796388.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Digital twin
100%
Concrete slabs
62%
Sustainable development
61%
Rails
58%
Life cycle
47%
21
Downloads (Pure)
Evaluation of Railway Passenger Comfort With Machine Learning
Huang, J.
&
Kaewunruen, S.
,
1 Jan 2022
,
In:
IEEE Access.
10
,
p. 2372-2381
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Error
100%
Machine learning
97%
Reaction Yield
54%
Time
47%
Mean square error
20%
42
Downloads (Pure)