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On Risk Based Design of Complex Engineering Systems: An Analytical Extreme Event Framework
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this work, a novel analytical framework is proposed for the riskbased design of complex engineering systems. The risk baseddesign process is the reverse process of risk propagation that entails the optimum allocation ...
Guided Tuning of Turbine Blades: A Practical Method to Avoid Operating at Resonance
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In gas turbine applications, forced vibrations of turbine blades under resonant—or nearly resonant—conditions are undesirable. Usually in airfoil design procedures, at least the first three blade modes are required to ...
Synthesizing Functional Mechanisms From a Link Soup1
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The synthesis of functional molecular linkages is constrained by difficulties in fabricating nanolinks of arbitrary shapes and sizes. Thus, classical mechanism synthesis methods, which assume the ability to manufacture any ...
Functional Evaluation of a Personalized Orthosis for Knee Osteoarthritis: A Motion Capture Analysis
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Orthotic treatments for knee osteoarthritis (OA) typically rely on simple mechanisms such as three-point bending straps and single-pin hinges. These commonly prescribed braces cannot treat bicompartmental knee OA, do not ...
Kinematic Design of Functional Nanoscale Mechanisms From Molecular Primitives
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Natural nanomechanisms such as capillaries, neurotransmitters, and ion channels play a vital role in the living systems. But the design principles developed by nature through evolution are not well understood and, hence, ...
Protofold II: Enhanced Model and Implementation for Kinetostatic Protein Folding1
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A reliable prediction of threedimensional (3D) protein structures from sequence data remains a big challenge due to both theoretical and computational difficulties. We have previously shown that our kinetostatic compliance ...