Semnan University
1.

Predicting Pavement Functional Performance Using Machine Learning: A Case Study of the International Roughness Index

Pages 1-26
masoud yekekhani; Amir Golroo; Fereidoon Moghadas Nejad
2.

Investigating Mathematical Modeling for Determining Concrete Pavement’s Composite Foundation Reaction Modulus (K∞) Using Regression Optimization Concretes

Pages 29-47
mahdi jokar; Mohammad Mehdi Khabiri; Sara Sarfaraz; masood temory
3.

Evaluation and Modeling of Fatigue in Asphalt Mixtures Containing Expanded Clay Aggregates (LECA) and Nano-Alumina Modified Bitumen Based on Bitumen Fatigue Parameters

Pages 49-78
Ghasem Tahmouresi; Mohsen Amouzadeh Omrani; Hassan Divandari; Ali Seyedkazemi
4.

Development of Pavement Distress Severity and Density Prediction Models Using Machine Learning

Pages 79-106
Mohammad Sedighian-Fard; Amir Golroo; Hananeh Dehghan Tezerjani
5.

Experimental Investigation of the Effect of Cement and Recycled HDPE Granules on the Strength, Durability and Microstructure of Sandy Soil

Pages 107-140
Ashkan Gholipoor Noroozi; , Alireza Ardakani
6.

Evaluating the mechanical properties of roller compacted concrete containing waste ceramic aggregates

Pages 141-177
Danial Nasr; rezvan babagoli; hooman holakooei
7.

Experimental and Numerical Investigation of the Effect of Nanoclay Addition on Excavation Stability

Pages 179-193
maryam haghbin; Mehdi Sabaghmoghadam


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