0
  • DE
  • EN
  • FR
  • Internationale Datenbank und Galerie für Ingenieurbauwerke

Anzeige

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Wasiq, Samiulhaq / Golroo, Amir (2024): Probabilistic pavement performance modeling using hybrid Markov Chain: A case study in Afghanistan. In: Case Studies in Construction Materials, v. 20 (Juli 2024).

    https://doi.org/10.1016/j.cscm.2024.e03023

  2. Wasiq, Samiulhaq / Golroo, Amir (2023): Smartphone-Based Cost-Effective Pavement Performance Model Development Using a Machine Learning Technique with Limited Data. In: Infrastructures, v. 9, n. 1 (20 Dezember 2023).

    https://doi.org/10.3390/infrastructures9010009

  3. Fani, Amirhossein / Golroo, Amir / Fahmani, Mohammadsadegh / Naseri, Hamed / Nejad, Fereidoon Moghadas: Analysis of the pavement deterioration uncertainty scenarios on pavement maintenance and rehabilitation planning optimization. In: Structure and Infrastructure Engineering.

    https://doi.org/10.1080/15732479.2023.2218359

  4. Fani, Amirhossein / Golroo, Amir / Naseri, Hamed / Mirhassani, S. Ali / Gandomi, Amir H.: Risk-based pavement maintenance planning considering budget and pavement deterioration uncertainty. In: Structure and Infrastructure Engineering.

    https://doi.org/10.1080/15732479.2022.2145317

  5. Wang, Xingwang / Wang, Hainian / Feng, Ponan / Wang, Chonghui / Zhang, Chen / Golroo, Amir (2022): The movement property characterization of coarse aggregate during gyratory compaction based on 3D-printed aggregate. In: Construction and Building Materials, v. 361 (Dezember 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.129608

  6. Naseri, Hamed / Golroo, Amir / Shokoohi, Mohammad / Gandomi, Amir H. (2024): Sustainable pavement maintenance and rehabilitation planning using the marine predator optimization algorithm. In: Structure and Infrastructure Engineering, v. 20, n. 3 (Juli 2024).

    https://doi.org/10.1080/15732479.2022.2095407

  7. Arezoumand, Sara / Mahmoudzadeh, Ahmadreza / Golroo, Amir / Mojaradi, Barat (2021): Automatic pavement rutting measurement by fusing a high speed-shot camera and a linear laser. In: Construction and Building Materials, v. 283 (Mai 2021).

    https://doi.org/10.1016/j.conbuildmat.2021.122668

  8. Kheirati, Afarin / Golroo, Amir (2022): Machine learning for developing a pavement condition index. In: Automation in Construction, v. 139 (Juli 2022).

    https://doi.org/10.1016/j.autcon.2022.104296

  9. Sholevar, Nima / Golroo, Amir / Esfahani, Sahand Roghani (2022): Machine learning techniques for pavement condition evaluation. In: Automation in Construction, v. 136 (April 2022).

    https://doi.org/10.1016/j.autcon.2022.104190

  10. Zheng, Wenhua / Wang, Hainian / You, Zhanping / Shao, Linlong / Golroo, Amir / Chen, Yu (2021): Mechanism and rheological characterization of MDI modified Wood-Based Bio-Oil asphalt. In: Construction and Building Materials, v. 309 (November 2021).

    https://doi.org/10.1016/j.conbuildmat.2021.125113

  11. Golroo, Amir / Tighe, Susan (2009): Use of Soft Computing Applications to Model Pervious Concrete Pavement Condition in Cold Climates. In: Journal of Transportation Engineering, v. 135, n. 11 (November 2009).

    https://doi.org/10.1061/(asce)te.1943-5436.0000052

  12. Golroo, Amir / Tighe, Susan L. (2012): Development of Pervious Concrete Pavement Performance Models Using Expert Opinions. In: Journal of Transportation Engineering, v. 138, n. 5 (Mai 2012).

    https://doi.org/10.1061/(asce)te.1943-5436.0000356

  13. Golroo, Amir / Tighe, Susan L. (2012): Pervious Concrete Pavement Performance Modeling Using the Bayesian Statistical Technique. In: Journal of Transportation Engineering, v. 138, n. 5 (Mai 2012).

    https://doi.org/10.1061/(asce)te.1943-5436.0000363

  14. Ganji, Mohammad Reza / Ghelmani, Ali / Golroo, Amir / Sheikhzadeh, Hamid (2021): Asphalt pavement macrotexture monitoring in cracked surfaces by using an acoustical low-cost continuous method. In: Automation in Construction, v. 132 (Dezember 2021).

    https://doi.org/10.1016/j.autcon.2021.103932

  15. Minbashi, Niloofar / Bagheri, Morteza / Golroo, Amir / ArastehKhouy, Iman (2017): Geometrical Degradation Analysis of Railway Turnouts Using Power Spectral Density. In: Journal of Transportation Engineering, Part A: Systems, v. 143, n. 8 (August 2017).

    https://doi.org/10.1061/jtepbs.0000056

  16. Khouzani, Amir Hossein Eslami / Golroo, Amir / Bagheri, Morteza (2017): Railway Maintenance Management Using a Stochastic Geometrical Degradation Model. In: Journal of Transportation Engineering, Part A: Systems, v. 143, n. 1 (Januar 2017).

    https://doi.org/10.1061/jtepbs.0000002

  17. Gerami Matin, Ali / Vatani Nezafat, Reza / Golroo, Amir (2017): A comparative study on using meta-heuristic algorithms for road maintenance planning: Insights from field study in a developing country. In: Journal of Traffic and Transportation Engineering (English Edition), v. 4, n. 5 (Oktober 2017).

    https://doi.org/10.1016/j.jtte.2017.06.004

  18. Naderi, Amirnojan / Shakeri, Eghbal / Golroo, Amir (2021): Performance-based management for construction holdings by integration of measurement frameworks. In: Asian Journal of Civil Engineering, v. 22, n. 4 (Februar 2021).

    https://doi.org/10.1007/s42107-020-00344-x

  19. Arbabpour Bidgoli, Mohammad / Hajikarimi, Pouria / Pourebrahimi, Mohammad Reza / Naderi, Koorosh / Golroo, Amir / Nejad, Fereidoon Moghadas (2020): Introducing Adhesion–Cohesion Index to Evaluate Moisture Susceptibility of Asphalt Mixtures Using a Registration Image-Processing Method. In: Journal of Materials in Civil Engineering (ASCE), v. 32, n. 12 (Dezember 2020).

    https://doi.org/10.1061/(asce)mt.1943-5533.0003477

  20. Kheirati, Afarin / Golroo, Amir (2020): Low-cost infrared-based pavement roughness data acquisition for low volume roads. In: Automation in Construction, v. 119 (November 2020).

    https://doi.org/10.1016/j.autcon.2020.103363

  21. Ganji, Mohammad Reza / Golroo, Amir / Sheikhzadeh, Hamid / Ghelmani, Ali / Arbabpour Bidgoli, Mohammad (2019): Dense-graded asphalt pavement macrotexture measurement using tire/road noise monitoring. In: Automation in Construction, v. 106 (Oktober 2019).

    https://doi.org/10.1016/j.autcon.2019.102887

  22. Arbabpour Bidgoli, Mohammad / Golroo, Amir / Sheikhzadeh Nadjar, Hamid / Ghelmani Rashidabad, Ali / Ganji, Mohammad Reza (2019): Road roughness measurement using a cost-effective sensor-based monitoring system. In: Automation in Construction, v. 104 (August 2019).

    https://doi.org/10.1016/j.autcon.2019.04.007

  23. Khalifeh, Vahid / Golroo, Amir / Ovaici, Khosro (2018): Application of an Inexpensive Sensor in Calculating the International Roughness Index. In: Journal of Computing in Civil Engineering, v. 32, n. 4 (Juli 2018).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000761

  24. Golroo, Amir / Tighe, Susan L. (2011): Alternative modeling framework for pervious concrete pavement condition analysis. In: Construction and Building Materials, v. 25, n. 10 (Oktober 2011).

    https://doi.org/10.1016/j.conbuildmat.2011.04.040

  25. Joshaghani, Alireza / Ramezanianpour, Ali Akbar / Ataei, Omid / Golroo, Amir (2015): Optimizing pervious concrete pavement mixture design by using the Taguchi method. In: Construction and Building Materials, v. 101 (Dezember 2015).

    https://doi.org/10.1016/j.conbuildmat.2015.10.094

  26. Golroo, Amir / Tighe, Susan L. (2012): Pervious concrete pavement performance modeling: an empirical approach in cold climates. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 39, n. 10 (Oktober 2012).

    https://doi.org/10.1139/l2012-088

  27. Golroo, Amir / Tighe, Susan L. (2009): Fuzzy set approach to condition assessments of novel sustainable pavements in the Canadian climate. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 36, n. 5 (Mai 2009).

    https://doi.org/10.1139/l09-025

Eine Veröffentlichung suchen...

Nur verfügbar mit
Mein Structurae

Volltext
Structurae kooperiert mit
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine