Flood risk management condition and risk assessment for the US Army Corps of Engineers

2012 ◽  
Author(s):  
P Embree ◽  
F Monfeli
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Flood Risk ◽  
Flood Risk Management ◽  
Army Corps ◽  
Army Corps Of Engineers ◽  
Corps Of Engineers ◽  
Us Army ◽  
Management Condition ◽  
The Us

Flood Risk Management: US Army Corps of Engineers and Layperson Perceptions

Risk Analysis ◽  
2012 ◽  
Vol 32 (8) ◽  
pp. 1349-1368 ◽  
Author(s):  
Matthew Wood ◽  
Daniel Kovacs ◽  
Ann Bostrom ◽  
Todd Bridges ◽  
Igor Linkov
Keyword(s):  
Risk Management ◽  
Flood Risk ◽  
Flood Risk Management ◽  
Army Corps ◽  
Army Corps Of Engineers ◽  
Corps Of Engineers ◽  
Us Army

scholarly journals Difficulties Associated with Predicting Depth of Freeze or Thaw

1964 ◽  
Vol 1 (4) ◽  
pp. 215-226 ◽  
Author(s):  
W G Brown
Keyword(s):  
Theoretical Calculations ◽  
Army Corps ◽  
Army Corps Of Engineers ◽  
Corps Of Engineers ◽  
Us Army ◽  
Design Curve ◽  
Theoretical Support ◽  
The Us ◽  
Frost Penetration ◽  
Small Alteration

Calculations using the Neumann solution (as modified by Aldrich) and thermal properties of soils (obtained by Kersten) show that the frost penetration depth for the same freezing index for essentially all soils with any moisture content and for dry sand and rock varies by a factor of about 2 to 1. The extremes calculated in this way bracket the experimentally determined design curve of the US Army Corps of Engineers and give it theoretical support. The theoretical calculations and additional experimental data are used as a basis for a small alteration in the slope of the design curve. This modified design curve is recommended for field use because of (1) inherent imperfections in existing theory and (2) practical limitations to precise specification of field conditions.

Quantifying coastal system resilience for the US Army Corps of Engineers

2015 ◽  
Vol 35 (2) ◽  
pp. 196-208 ◽  
Author(s):  
Julie Dean Rosati ◽  
Katherine Flynn Touzinsky ◽  
W. Jeff Lillycrop
Keyword(s):  
Army Corps ◽  
Army Corps Of Engineers ◽  
Corps Of Engineers ◽  
Coastal System ◽  
Us Army ◽  
The Us ◽  
System Resilience

Assessment of resistance definitions used for blast analysis of unreinforced masonry walls

2017 ◽  
Vol 8 (1) ◽  
pp. 125-151 ◽  
Author(s):  
Eric M Gagnet ◽  
John M Hoemann ◽  
James S Davidson
Keyword(s):  
Unreinforced Masonry ◽  
Degree Of Freedom ◽  
Masonry Walls ◽  
Army Corps ◽  
Army Corps Of Engineers ◽  
Corps Of Engineers ◽  
Single Degree Of Freedom ◽  
Us Army ◽  
Single Degree ◽  
The Us

Over recent decades, three distinct methods have evolved that are currently being used to generate resistance functions for single-degree-of-freedom analyses of unreinforced masonry walls subjected to blast loading. The degree of differences in these resistance definitions depends on whether the wall is assumed to be simply supported or whether compression arching forces result from rotation restraint at the supports. The first method originated in the late 1960s as a result of both experimental and analytical research sponsored by the US Department of Defense. That method, referred to as the Wiehle method, is the basis of Unified Facilities Criteria 3-340-02 and other derived analytical software such as the Wall Analysis Code developed by the US Army Corps of Engineers, Engineer Research and Development Center. The second method is based on elastic mechanics and an assumed linear decay function that follows and is the basis of the widely used Single-Degree-of-Freedom Blast Effects Design Spreadsheets software distributed by the US Army Corps of Engineers, Protective Design Center. The third method is largely based on concrete and masonry behavioral theories developed by Paulay and Priestly in the early 1990s. This article systematically compares the resistance methodologies for arching and non-arching scenarios, demonstrates the implications by plugging the disparate resistance functions into blast load single-degree-of-freedom models, compares the analytical results to full-scale blast test results, and offers conclusions about the accuracy and efficacies of each method.

scholarly journals Approaches for assessing riverine scour

2021 ◽  
Author(s):  
Adam Howard ◽  
Jang Pak ◽  
David May ◽  
Stanford Gibson ◽  
Chris Haring ◽  
...  
Keyword(s):  
Risk Management ◽  
Flood Risk ◽  
Flood Risk Management ◽  
Exact Science ◽  
Us Army ◽  
River Bed ◽  
The Us ◽  
Riverine Environment ◽  
Stream Hydraulics ◽  
High Hazard

Calculating scour potential in a stream or river is as much a geomorphological art as it is an exact science. The complexity of stream hydraulics and heterogeneity of river-bed materials makes scour predictions in natural channels uncertain. Uncertain scour depths near high-hazard flood-risk zones and flood-risk management structures lead to over-designed projects and difficult flood-risk management decisions. This Regional Sediment Management technical report presents an approach for estimating scour by providing a decision framework that future practitioners can use to compute scour potential within a riverine environment. This methodology was developed through a partnership with the US Army Engineer Research and Development Center, Hydrologic Engineering Center, and St. Paul District in support of the Lower American River Contract 3 project in Sacramento, CA.

scholarly journals Brunswick Harbor numerical model

2021 ◽  
Author(s):  
Jennifer McAlpin ◽  
Jason Lavecchia
Keyword(s):  
Army Corps ◽  
Army Corps Of Engineers ◽  
Engineer Research ◽  
Corps Of Engineers ◽  
Us Army ◽  
Navigation Channel ◽  
The Us ◽  
Model Setup ◽  
Hydraulics Laboratory ◽  
Development Center

The Brunswick area consists of many acres of estuarine and marsh environments. The US Army Corps of Engineers District, Savannah, requested that the US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, develop a validated Adaptive Hydraulics model and assist in using it to perform hydrodynamic modeling of proposed navigation channel modifications. The modeling results are necessary to provide data for ship simulation. The model setup and validation are presented here.

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