The dynamic response model of nine different skeletal muscles

1990 ◽  
Vol 37 (3) ◽  
pp. 243-251 ◽  
Author(s):  
R. Baratta ◽  
M. Solomonow
Keyword(s):  
Dynamic Response ◽  
Skeletal Muscles ◽  
Response Model

Investigation of nonlinear landing gear behavior and dynamic responses on high performance aircraft

2019 ◽  
Vol 233 (15) ◽  
pp. 5674-5688
Author(s):  
PS Suresh ◽  
Niranjan K Sura ◽  
K Shankar
Keyword(s):  
Dynamic Response ◽  
Nonlinear Dynamic ◽  
Landing Gear ◽  
Flight Mechanics ◽  
Dynamic Responses ◽  
Nonlinear Stiffness ◽  
Response Model ◽  
Nonlinear Dynamic Response ◽  
Vertical Descent ◽  
Stiffness And Damping

The dynamic responses simulation of aircraft as rigid body considering heave, pitch, and roll motions, coupled onto a tricycle landing gear arrangement is presented. Equation of motion for each landing gear consists of un-sprung mass vertical and longitudinal motions considering strut nonlinear stiffness and damping combined with strut bending flexibility. Initially, the nonlinear dynamic response model is subjected to an input of riding over staggered bump and the responses are compared with linear landing gear model. It is observed that aircraft dynamics and important landing gear events such as vertical, spin-up and spring-back are truly represented with nonlinear stiffness and damping model considering strut bending flexibility. Later, landing response analysis is performed, with the input from nonlinear flight mechanics model for several vertical descent rate cases. The aircraft and landing gear dynamic responses such as displacement, velocity, acceleration, and reaction forces are obtained. The vertical and longitudinal drag forces from the nonlinear dynamic response model is compared with “Book-case method” outlined in landing gear design technical specifications. From the reaction force ratio calculation, it is shown that for lower vertical descent rate case the predicted loads are lesser using nonlinear dynamic response model. The same model for higher vertical descent rate cases predicts higher ratios on vertical reaction for main landing gear and longitudinal reaction for nose landing gear, respectively. The scope for increase in fatigue life for low vertical descent rate landing covering major design spectrum and the concern for static strength and structural integrity consideration for higher vertical descent rate cases are discussed in the context of event monitoring on aircraft in services.

A dynamic response model for the WO3-based ozone sensors

2008 ◽  
Vol 128 (2) ◽  
pp. 462-467 ◽  
Author(s):  
J. Guérin ◽  
M. Bendahan ◽  
K. Aguir
Keyword(s):  
Dynamic Response ◽  
Response Model

A Frequency-Domain INS/GPS Dynamic Response Method for Bridging GPS Outages

2010 ◽  
Vol 63 (4) ◽  
pp. 627-643 ◽  
Author(s):  
Mohammed El-Diasty ◽  
Spiros Pagiatakis
Keyword(s):  
Neural Network ◽  
Transfer Function ◽  
Dynamic Response ◽  
Dynamic System ◽  
Least Squares ◽  
Frequency Domain ◽  
Impulse Response ◽  
Time Domain ◽  
Response Model ◽  
Response Method

We develop a new frequency-domain dynamic response method to model integrated Inertial Navigation System (INS) and Global Positioning System (GPS) architectures and provide an accurate impulse-response-based INS-only navigation solution when GPS signals are denied (GPS outages). The input to such a dynamic system is the INS-only solution and the output is the INS/GPS integration solution; both are used to derive the transfer function of the dynamic system using Least Squares Frequency Transform (LSFT). The discrete Inverse Least Squares Frequency Transform (ILSFT) of the transfer function is applied to estimate the impulse response of the INS/GPS system in the time domain. It is shown that the long-term motion dynamics of a DQI-100 IMU/Trimble BD950 integrated system are recovered by 72%, 42%, 75%, and 40% for north and east velocities, and north and east positions respectively, when compared with the INS-only solution (prediction mode of the INS/GPS filter). A comparison between our impulse response model and the current state-of-the-art time-domain feed-forward neural network shows that the proposed frequency-dependent INS/GPS response model is superior to the neural network model by about 26% for 2D velocities and positions during GPS outages.

Multiple Categorical Covariates-Based Multinomial Dynamic Response Model

Sankhya A ◽  
2019 ◽  
Vol 82 (1) ◽  
pp. 186-219
Author(s):  
R. Prabhakar Rao ◽  
Brajendra C. Sutradhar
Keyword(s):  
Dynamic Response ◽  
Response Model

scholarly journals Dynamic Response and Reliability Analysis of Buried Steel Pipes Under Blast Load

2021 ◽  
Author(s):  
Shengwu Tu ◽  
Dongwang Zhong ◽  
Linna Li ◽  
Xiangchao Gong ◽  
Kuan Zhu
Keyword(s):  
Dynamic Response ◽  
Reliability Analysis ◽  
Quantitative Risk Assessment ◽  
Response Model ◽  
Buried Pipelines ◽  
Experimental Conditions ◽  
Steel Pipes ◽  
Operation Analysis ◽  
Load Factors ◽  
Pressurized Pipelines

Comprehensively considering the influence of multiple load factors involved in the stress of buried pipelines, the dynamic response model and failure function of buried pressurized pipelines under explosive loads are established, and the formula for calculating the stresses of buried pressurized pipelines is proposed. Design and carry out dynamic response model experiment of buried steel pipe under explosive load, and extract relevant model parameters according to experimental data. For the buried pressurized steel pipes under extreme experimental conditions, the reliability analysis was carried out by Monte Carlo method, and the limit proportional distance of pipeline failure under experimental conditions was obtained. To determine the degree of influence of various parameter changes on the reliability of buried steel pipes. The research results can provide a certain reference for the quantitative risk assessment and safe operation analysis of the adjacent buried pipelines in blasting construction.

scholarly journals Bearing Seat Vibration Modes Undergoing Unbalanced Excitation of Multirotating Drums

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Yu Li ◽  
Zhong Tang ◽  
Xinzhong Wang ◽  
Hao Zhang ◽  
Yaoming Li
Keyword(s):  
Dynamic Response ◽  
Boundary Conditions ◽  
Vibration Amplitude ◽  
Vibration Modes ◽  
Response Model ◽  
Response Characteristics ◽  
Transmission Modes ◽  
Combine Harvester ◽  
Seat Vibration ◽  
Poor Stability

Transmission modes of multiple rotating parts on combine harvester are complex and diverse, which resulted in large vibration and poor stability when the entire machine is harvesting. Aiming at the complex vibration problem of the combine harvester threshing system, this paper established the dynamic response model of the multidrum parallel system under different transmission modes and solved the vibration characteristics of the system. An experiment on the axial unbalance response of the parallel drum system under different transmission modes was carried out. The results show that the internal units of the threshing system form a whole through the transmission system, which causes the unbalanced response of the system to be superimposed on parallel threshing drums, thereby increasing the vibration amplitude. In addition, the change of the transmission mode will cause the vibration transmission path in the system to change greatly, and the boundary conditions of the system will be changed at the same time, which will eventually lead to the change of the unbalanced response characteristics.

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