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Ravi Kiran
Ravi Kiran
Sonstige NamenRavi Kiran Yellavajjala
Associate Professor - Arizona State University
Bestätigte E-Mail-Adresse bei asu.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A Triaxiality and Lode Parameter Dependent Ductile Fracture Criterion
R Kiran, K Khandelwal
Engineering Fracture Mechanics, 2014
1502014
Applications of deep learning in precision weed management: A review
N Rai, Y Zhang, BG Ram, L Schumacher, RK Yellavajjala, S Bajwa, X Sun
Computers and Electronics in Agriculture 206, 107698, 2023
1272023
Wheat lodging detection from UAS imagery using machine learning algorithms
Z Zhang, P Flores, C Igathinathane, D L. Naik, R Kiran, JK Ransom
Remote sensing 12 (11), 1838, 2020
1112020
Gurson model parameters for ductile fracture simulation in ASTM A992 steels
R Kiran, K Khandelwal
Fatigue & Fracture of Engineering Materials & Structures 37 (2), 171-183, 2014
1072014
Influence of stress concentration and cooling methods on post-fire mechanical behavior of ASTM A36 steels
HU Sajid, R Kiran
Construction and Building Materials 186, 920-945, 2018
862018
Influence of corrosion and surface roughness on wettability of ASTM A36 steels
HU Sajid, R Kiran
Journal of Constructional Steel Research 144, 310-326, 2018
832018
Experimental studies and models for ductile fracture in ASTM A992 steels at high triaxiality
R Kiran, K Khandelwal
Journal of Structural engineering 140 (2), 04013044, 2014
732014
Modified pullout test for indirect characterization of natural fiber and cementitious matrix interface properties
DL Naik, A Sharma, RR Chada, R Kiran, T Sirotiak
Construction and Building Materials 208, 381-393, 2019
672019
A micromechanical model for ductile fracture prediction in ASTM A992 steels
R Kiran, K Khandelwal
Engineering Fracture Mechanics 102, 101-117, 2013
662013
Influence of high stress triaxiality on mechanical strength of ASTM A36, ASTM A572 and ASTM A992 steels
HU Sajid, R Kiran
Construction and Building Materials 176, 129-134, 2018
642018
A Micromechanical Cyclic Void Growth Model for Ultra-low Cycle Fatigue
R Kiran, K Khandelwal
International Journal of Fatigue, 2014
642014
Post-fire mechanical behavior of ASTM A572 steels subjected to high stress triaxialities
HU Sajid, R Kiran
Engineering Structures 191, 323-342, 2019
622019
Distinguishing seedling volunteer corn from soybean through greenhouse color, color-infrared, and fused images using machine and deep learning
P Flores, Z Zhang, C Igathinathane, M Jithin, D Naik, J Stenger, J Ransom, ...
Industrial Crops and Products 161, 113223, 2021
552021
On anisotropy, strain rate and size effects in vat photopolymerization based specimens
DL Naik, R Kiran
Additive Manufacturing 23, 181-196, 2018
552018
Microstructure–Mechanical Property Relationships for Post-Fire Structural Steels
HU Sajid, DL Naik, R Kiran
ASCE Journal of Materials in Civil Engineering 32 (6), 14, 2020
522020
A novel sensitivity-based method for feature selection
DL Naik, R Kiran
Journal of Big Data 8 (1), 128, 2021
472021
Combined effects of triaxiality, Lode parameter and shear stress on void growth and coalescence
Y Zhu, M Engelhardt, R Kiran
Engineering Fracture Mechanics 199, 410-437, 2018
472018
Texture-based metallurgical phase identification in structural steels: A supervised machine learning approach
DL Naik, HU Sajid, R Kiran
Metals 9 (5), 546, 2019
462019
Complex step derivative approximation for numerical evaluation of tangent moduli
R Kiran, K Khandelwal
Computers and Structures 140, 1-13, 2014
442014
Employing corn derived products to reduce the corrosivity of pavement deicing materials
HU Sajid, R Kiran, X Qi, DS Bajwa, D Battocchi
Construction and Building Materials 263, 120662, 2020
392020
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