S.M.J.G. Erkens

External positions

Rijkswaterstaat

1 Jan 2001 → …

Keywords (LCC)

TA Engineering (General). Civil engineering (General)
TE Highway engineering. Roads and pavements

Fingerprint

Dive into the research topics where S.M.J.G. Erkens is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

A step toward a micromechanics-informed neural network for predicting asphalt mixture stiffness
Anupam, K., Berangi, M., Camargo, J. C., Kasbergen, C. & Erkens, S., 2025, In: Computer-Aided Civil and Infrastructure Engineering. 40, 23, p. 3624-3651 28 p.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
70 Downloads (Pure)
Chemo-mechanical characterization and data-driven correlation analysis of rejuvenated bitumen via artificial neural network
Ren, S., Khadijeh, M., Assaf, E. I., Liu, X. & Erkens, S., 2025, In: Materials and Design. 256, 18 p., 114250.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
8 Downloads (Pure)
Combining deep neural networks and Gaussian processes for asphalt rheological insights
Khadijeh, M., Kasbergen, C., Erkens, S. & Varveri, A., 2025, In: Results in Engineering. 26, 23 p., 105629.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
15 Downloads (Pure)
Developing a multi-scale framework to predict and evaluate cohesion and adhesion of rejuvenated bitumen: Insights from molecular dynamics simulations and experiments
Ren, S., Poot, M., Liu, X. & Erkens, S., 2025, In: Materials and Design. 252, 16 p., 113791.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
18 Downloads (Pure)
Evaluation of Plant-Produced Epoxy-Modified Open-Graded Porous Asphalt Mixture
Apostolidis, P., Naus, R., Liu, X., Hermsen, R., Erkens, S. & Scarpas, T., 2025, In: Journal of Materials in Civil Engineering. 37, 4, 6 p., 05025002.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
4 Downloads (Pure)

Code underlying the publication: Multistage physics informed neural network for solving coupled multiphysics problems in material degradation and fluid dynamics
Khadijeh, M. (Creator), Kasbergen, C. (Creator), Erkens, S. M. J. G. (Creator) & Varveri, A. (Creator), TU Delft - 4TU.ResearchData, 2025
DOI: 10.4121/48E6341D-B5A4-4525-B16D-CEEF5A61525A
Dataset/Software: Software

46 Membership of committee
9 Editorial activity
6 Participation in conference
3 Talk or presentation at a workshop, seminar, course or other meeting
More
- 1 Participation in workshop, seminar, course
- 1 Consultancy

Commissie NEN 353 058 Wegenbouwmaterialen (External organisation)
S. Erkens (Member)
2018
Activity: Membership › Membership of committee
ISAP: Technical Committee on Constitutive Modelling of Asphaltic Materials (External organisation)
S. Erkens (Member)
2018
Activity: Membership › Membership of committee
CROW InfraDagen, Organizing committee (External organisation)
S. Erkens (Member)
2018
Activity: Membership › Membership of committee
5th Chinese European Symposium on Functional Pavements
S. Erkens (Member of programme committee)
26 Oct 2018 → 28 Oct 2018
Activity: Participating in or organising an event › Participation in conference
Transport Research Arena 2018
S. Erkens (Chair of programme committee)
16 Apr 2018 → 19 Apr 2018
Activity: Participating in or organising an event › Participation in conference

Podcast: Het asfalt van de toekomst is er, nu nog opdrachtgevers
S.M.J.G. Erkens
7/12/21
1 item of Media coverage
Press/Media: Public Engagement
Superasfalt
S.M.J.G. Erkens
7/06/18 → 9/11/20
6 items of Media coverage
Press/Media: Public Engagement
Super asphalt lasts longer
S.M.J.G. Erkens
1/10/20
1 item of Media coverage
Press/Media: Public Engagement
Elektrische auto's en asfalt
S. Erkens
28/07/19 → 30/07/19
2 items of Media coverage
Press/Media: Public Engagement
Tu Delft maakt Elastischer 'Superasfalt'
S.M.J.G. Erkens
24/08/18
1 item of Media coverage
Press/Media: Public Engagement

S.M.J.G. Erkens

Personal profile

External positions

Keywords (LCC)

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

A step toward a micromechanics-informed neural network for predicting asphalt mixture stiffness

Chemo-mechanical characterization and data-driven correlation analysis of rejuvenated bitumen via artificial neural network

Combining deep neural networks and Gaussian processes for asphalt rheological insights

Developing a multi-scale framework to predict and evaluate cohesion and adhesion of rejuvenated bitumen: Insights from molecular dynamics simulations and experiments

Evaluation of Plant-Produced Epoxy-Modified Open-Graded Porous Asphalt Mixture

Code underlying the publication: Multistage physics informed neural network for solving coupled multiphysics problems in material degradation and fluid dynamics

Commissie NEN 353 058 Wegenbouwmaterialen (External organisation)

ISAP: Technical Committee on Constitutive Modelling of Asphaltic Materials (External organisation)

CROW InfraDagen, Organizing committee (External organisation)

5th Chinese European Symposium on Functional Pavements

Transport Research Arena 2018

Podcast: Het asfalt van de toekomst is er, nu nog opdrachtgevers

Superasfalt

Super asphalt lasts longer

Elektrische auto's en asfalt

Tu Delft maakt Elastischer 'Superasfalt'

S.M.J.G. Erkens

Personal profile

External positions

Keywords (LCC)

Fingerprint

Collaborations and top research areas from the last five years

Research output

Datasets

Activities

Press/Media