scholarly journals Inverse Analysis of R-UHPFRC Beams to Determine the Flexural Response under Service Loading and at Ultimate Resistance

2022 ◽  
Vol 148 (2) ◽  
Author(s):  
Bartłomiej Sawicki ◽  
Eugen Brühwiler ◽  
Emmanuel Denarié
Keyword(s):  
Inverse Analysis ◽  
Flexural Response ◽  
Service Loading ◽  
Ultimate Resistance

Effect of Sustained Service Loading on Post-Fire Flexural Response of Reinforced Concrete T-Beams

2019 ◽  
Vol 116 (3) ◽  
Author(s):  
Chanachai Thongchom ◽  
Akhrawat Lenwari ◽  
Riyad S. Aboutaha
Keyword(s):  
Reinforced Concrete ◽  
Flexural Response ◽  
Service Loading

Reliability Inverse Analysis Method of X80 Pipeline Parameter Design

ICPTT 2011 ◽  
2011 ◽  
Author(s):  
Lisong Zhang ◽  
Xiangzhen Yan ◽  
Xiujuan Yang
Keyword(s):  
Inverse Analysis ◽  
Parameter Design ◽  
Analysis Method ◽  
Inverse Analysis Method

Flexural Response of CFRP Prestressed Concrete Box Beams for Highway Bridges

PCI Journal ◽  
2004 ◽  
Vol 49 (1) ◽  
pp. 92-104 ◽  
Author(s):  
Nabil F. Grace ◽  
S. B. Singh ◽  
Mina M. Shinouda ◽  
Sunup S. Mathew
Keyword(s):  
Prestressed Concrete ◽  
Highway Bridges ◽  
Flexural Response ◽  
Box Beams

INVERSE ANALYSIS TO OBTAIN THE PRESSURE-DEPENDENT PERMEABILITY OF MICRO/NANO POROUS MATERIALS

2020 ◽  
Vol 51 (16) ◽  
pp. 1445-1454
Author(s):  
Lei-Lei Liu ◽  
Feng-Xian Sun ◽  
Xin-Lin Xia
Keyword(s):  
Porous Materials ◽  
Inverse Analysis

Hamiltonian Monte Carlo Method Applied In The Inverse Analysis Of Forced Convection In Microchannels In The Slip Flow Regime

2019 ◽  
Author(s):  
Géssica Ramos da Silva ◽  
Maicon de Paiva Torres ◽  
Leonardo Stutz ◽  
Diego Knupp ◽  
Antônio Silva Neto
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Flow Regime ◽  
Forced Convection ◽  
Inverse Analysis ◽  
Slip Flow ◽  
Hamiltonian Monte Carlo ◽  
Slip Flow Regime

Present limitations in the assessment of components under multiaxial service loading

2005 ◽  
Vol 47 (5) ◽  
pp. 255-259 ◽  
Author(s):  
Cetin Morris Sonsino ◽  
Martin Küppers ◽  
Harald Zenner ◽  
Farhad Yousefi-Hashtyani
Keyword(s):  
Service Loading

Vulnerability of Drop Ceilings in Roadway Tunnels to Fire-Induced Damage

2021 ◽  
pp. 036119812110266
Author(s):  
Ziyan Ouyang ◽  
Qi Guo ◽  
Spencer E. Quiel ◽  
Clay J. Naito
Keyword(s):  
Fire Hazard ◽  
Heat Exposure ◽  
Element Analysis ◽  
Passive Protection ◽  
Cooling Period ◽  
Flexural Response ◽  
Standard Fire ◽  
Significant Damage ◽  
The Finite Element Analysis ◽  
Simultaneous Loss

Roadway tunnels often include a reinforced concrete drop ceiling that is hung from the liner to create a plenum that facilitates ventilation and houses utilities. Drop ceiling panels are lightweight compared with the much thicker tunnel liner and can experience significant damage from a fire on the roadway below. This paper examines the flexural response of drop ceiling panels in two representative tunnels to standard fire curves as well as several realistic fires due to vehicular accidents. Standard fire demands as per the Rijkswaterstaat and ASTM E1529 fire curves are uniformly applied to the ceiling panels, and heat exposure contours for typical vehicle fires with heat release rates of 30, 100, and 200 MW are generated from the software CFAST. The finite element analysis software SAFIR is used to evaluate the thermo-mechanical behavior of the ceiling panels when subjected to various thermal demands from the fire below. The analysis results indicate that drop ceiling panels are highly vulnerable to fire-induced damage and potential collapse both during a fire’s active heating phase (from simultaneous loss of capacity and restraint of thermal expansion) and during the subsequent cooling period (from tension that develops when the permanently deformed panel thermally retracts). The potential for fire-induced damage or collapse of the drop ceiling panels can be mitigated by reducing the fire hazard, removing the drop ceiling, or enhancing the fire resistance of the panels via the application of passive protection or structural hardening.

scholarly journals Pre- and post-processing in quantum-computational hydrologic inverse analysis

2021 ◽  
Vol 20 (5) ◽  
Author(s):  
John K. Golden ◽  
Daniel O’Malley
Keyword(s):  
Inverse Analysis ◽  
Post Processing
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