Structural Acoustic Physics Based Modeling of Curved Composite Shells

2017 ◽  
Author(s):  
Rachel E. Hesse ◽  
Andrew W. Hulton
Keyword(s):  
Composite Material ◽  
Computational Models ◽  
Design Methods ◽  
Lagrangian Approach ◽  
Acoustic Properties ◽  
Future Research ◽  
Flat Plates ◽  
Unmanned Underwater Vehicles ◽  
Frp Composites ◽  
Particle Hydrodynamics

Understanding sound wave propagation through a curved shell geometry is essential for a wide variety of underwater applications. The objective of this study was to use physics-based modeling (PBM) to investigate wave propagations through curved shells that are subjected to acoustic excitation. An improved understanding of the absorption and reflection properties of materials, such as fiber-reinforced polymer (FRP) composites, will enhance the design methods for a variety of Navy products such as acoustic sensors, acoustic windows, and unmanned underwater vehicles. The research documented in this report investigates the reflection and transmission coefficients of both flat plates and curved shells for steel and composite materials. Results show that the finite element computational models accurately match analytical calculations, and that the composite material studied in this report has more desirable reflection and absorption properties than steel for typical Navy applications. This research also explores the use of coupled Eulerian-Lagrangian (CEL) and smoothed particle hydrodynamics (SPH) modeling approaches in place of the current, traditional Lagrangian approach. Unfortunately, these approaches were found to be unsuitable for the type of acoustic analyses performed throughout this research. However, results from the traditional Lagrangian approach confirmed the validity of current modeling techniques and allowed for the study of the acoustic properties of various geometries and materials. This can help drive future research on composite material applications and enhance design methods for future Navy products.

Recent Advances on the Semi-Supervised Learning for Long Non-Coding RNA-Protein Interactions Prediction: A Review

2020 ◽  
Vol 27 (5) ◽  
pp. 385-391
Author(s):  
Lin Zhong ◽  
Zhong Ming ◽  
Guobo Xie ◽  
Chunlong Fan ◽  
Xue Piao
Keyword(s):  
Supervised Learning ◽  
Protein Interactions ◽  
Computational Models ◽  
Prediction Models ◽  
Chromatin Modification ◽  
Computational Prediction ◽  
Human Diseases ◽  
Future Research ◽  
Non Coding Rna ◽  
Long Non Coding Rna

: In recent years, more and more evidence indicates that long non-coding RNA (lncRNA) plays a significant role in the development of complex biological processes, especially in RNA progressing, chromatin modification, and cell differentiation, as well as many other processes. Surprisingly, lncRNA has an inseparable relationship with human diseases such as cancer. Therefore, only by knowing more about the function of lncRNA can we better solve the problems of human diseases. However, lncRNAs need to bind to proteins to perform their biomedical functions. So we can reveal the lncRNA function by studying the relationship between lncRNA and protein. But due to the limitations of traditional experiments, researchers often use computational prediction models to predict lncRNA protein interactions. In this review, we summarize several computational models of the lncRNA protein interactions prediction base on semi-supervised learning during the past two years, and introduce their advantages and shortcomings briefly. Finally, the future research directions of lncRNA protein interaction prediction are pointed out.

scholarly journals Sonority projection effect in French: A signal detection theory approach

2021 ◽  
pp. 1-12
Author(s):  
Anahita Basirat ◽  
Cédric Patin ◽  
Jérémie Jozefowiez
Keyword(s):  
Signal Detection ◽  
Signal Detection Theory ◽  
Computational Models ◽  
Native Speakers ◽  
Detection Theory ◽  
Future Research ◽  
Theory Approach ◽  
Point Scale ◽  
Projection Effect ◽  
Measure Sensitivity

Abstract Focusing on the Sonority Sequencing Principle (SSP), we investigated the extent to which adult native speakers of French are sensitive to sonority-related constraints compared to lexical attestedness. In a non-word acceptability task, participants were asked to rate the acceptability of three types of non-words using a 6-point scale: non-words with attested sonority rising onset, non-words with unattested sonority rising onset, and non-words with unattested sonority falling onset. Data analysis was done using the signal detection theory approach to measure sensitivity of participants to lexical attestedness and to phonological well-formedness (i.e., respecting or violating the SSP). The results showed that speakers distinguished well-formed and ill-formed forms even when lexical attestedness was controlled for. This is consistent with previous findings on sonority projection effects. Participants were more sensitive to lexical attestedness than phonological well-formedness. Future research using computational models should investigate mechanisms that could account for these findings, namely whether a similar result would be obtained without including any assumption about the SSP in these models.

Reframing Climate-Induced Socio-Environmental Conflicts: A Systematic Review

2020 ◽  
Author(s):  
Cesare M Scartozzi
Keyword(s):  
Climate Change ◽  
Systematic Review ◽  
Computational Models ◽  
Descriptive Statistics ◽  
Future Research ◽  
Environmental Conflicts ◽  
Changement Climatique ◽  
Social Ecological ◽  
Revisión Sistemática ◽  
Methodological Approaches

Abstract This article draws a comprehensive map of conflict climate change scholarship. It uses visualizations and descriptive statistics to trace the temporal, spatial, and topical evolution of the field of study via a bibliometric analysis of more than six hundred publications. It then proceeds to summarize findings, theoretical explanations, and methodological approaches. Overall, this systematic review shows a remarkable inconsistency of evidence among publications. As a way forward, this article recommends future research to use computational models, informed by a social-ecological perspective, to better explore the link between climate change and conflict. Resumen En este artículo se traza un mapa integral de la erudición conflictiva del cambio climático. Se utilizan visualizaciones y estadísticas descriptivas para rastrear la evolución temporal, espacial y temática del campo de estudio mediante un análisis bibliométrico de más de seiscientas publicaciones. Luego, continúa con un resumen de los hallazgos, las explicaciones teóricas y los enfoques metodológicos. En términos generales, esta revisión sistemática muestra una notable incoherencia de evidencias entre las publicaciones. En este artículo se recomiendan investigaciones a futuro para utilizar los modelos computacionales, informados con una perspectiva socioecológica, a fin de explorar mejor la conexión entre el cambio climático y los conflictos. Extrait Cet article offre une représentation complète des recherches portant sur les conflits liés au changement climatique. Il utilise des visualisations et des statistiques descriptives pour retracer l’évolution temporelle, spatiale et thématique de ce domaine d’étude via une analyse bibliométrique de plus de six cents publications. Il résume ensuite les constatations, explications théoriques et approches méthodologiques. Globalement, cette synthèse systématique montre une incohérence remarquable des preuves entre les publications. Pour aller de l'avant, cet article recommande que les recherches futures passent par des modèles informatiques éclairés par une perspective socio-écologique pour mieux explorer le lien entre le changement climatique et les conflits.

scholarly journals Computational Models of Memory Search

2020 ◽  
Vol 71 (1) ◽  
pp. 107-138 ◽  
Author(s):  
Michael J. Kahana
Keyword(s):  
Human Brain ◽  
Computational Models ◽  
Memory Search ◽  
Future Research ◽  
Computational Approaches ◽  
Modeling Studies ◽  
Open Questions ◽  
Context Theory

The capacity to search memory for events learned in a particular context stands as one of the most remarkable feats of the human brain. How is memory search accomplished? First, I review the central ideas investigated by theorists developing models of memory. Then, I review select benchmark findings concerning memory search and analyze two influential computational approaches to modeling memory search: dual-store theory and retrieved context theory. Finally, I discuss the key theoretical ideas that have emerged from these modeling studies and the open questions that need to be answered by future research.

Current Situation and Prospect of the Application of FRP in Material Engineering

2014 ◽  
Vol 898 ◽  
pp. 375-377
Author(s):  
Xiao Lin Dong
Keyword(s):  
Composite Material ◽  
Fatigue Resistance ◽  
Civil Engineering ◽  
Temperature Stability ◽  
High Strength ◽  
Current Situation ◽  
Light Weight ◽  
Wood Structure ◽  
Frp Composites ◽  
Frp Composite

The FRP composite material can replace the traditional under certain conditions, the wood structure of steel and reinforced materials, with high strength, light weight, resistance to corrosion and fatigue resistance, temperature stability and good special, because by civil engineeringcircles. This paper introduces the characteristics of FRP composites, the application of FRP composites in civil engineering are discussed, finally, the prospect of FRP materials are introduced.

scholarly journals Experimental study of Natural composite Material on Acoustic properties

2020 ◽  
Vol 870 ◽  
pp. 012158
Author(s):  
Muna S. Kassim ◽  
Ammar Fadhil Hussein Al-Maliki ◽  
Hadeel Abdulhadi Jasim
Keyword(s):  
Experimental Study ◽  
Composite Material ◽  
Acoustic Properties ◽  
Natural Composite

scholarly journals Dealing with the Effect of Air in Fluid Structure Interaction by Coupled SPH-FEM Methods

Materials ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1162 ◽  
Author(s):  
Cristiano Fragassa ◽  
Marko Topalovic ◽  
Ana Pavlovic ◽  
Snezana Vulovic
Keyword(s):  
Finite Element Method ◽  
Smoothed Particle Hydrodynamics ◽  
Computational Models ◽  
Fluid Structure Interaction ◽  
The Finite Element Method ◽  
Fluid Structure ◽  
Structure Interaction ◽  
Particle Hydrodynamics ◽  
Smoothed Particle ◽  
High Computational Complexity

Smoothed particle hydrodynamics (SPH) and the finite element method (FEM) are often combined with the scope to model the interaction between structures and the surrounding fluids (FSI). There is the case, for instance, of aircrafts crashing on water or speedboats slamming into waves. Due to the high computational complexity, the influence of air is often neglected, limiting the analysis to the interaction between structure and water. On the contrary, this work aims to specifically investigate the effect of air when merged inside the fluid–structure interaction (FSI) computational models. Measures from experiments were used as a basis to validate estimations comparing results from models that include or exclude the presence of air. Outcomes generally showed a great correlation between simulation and experiments, with marginal differences in terms of accelerations, especially during the first phase of impact and considering the presence of air in the model.

Simulation of Angular Flow in a Shallow Basin Triggered by a Rotating Vertical Cylinder by SPH Method

2018 ◽  
Vol 881 ◽  
pp. 15-22
Author(s):  
Warniyati ◽  
Radianta Triatmadja ◽  
Nur Yuwono
Keyword(s):  
Numerical Model ◽  
Physical Model ◽  
Time Integration ◽  
Vertical Cylinder ◽  
Shear Velocity ◽  
Future Research ◽  
Sph Method ◽  
Virtual Particle ◽  
Real Particle ◽  
Particle Hydrodynamics

A simple numerical model has been generated for developing a code of Smoothed Particle Hydrodynamics (SPH) method. Those will be modified and used for future research. In this computational research domain is a square that consists of a real particle and virtual particle as the boundary treatment. In the initial condition, particle occupies a certain position. Circular flow has been generated by a rotating vertical cylinder to produce shear velocity to the real particle. The particles movement has been observed during time integration. A physical model has been constructed to compare the numerical model. The movement of real particles on the numerical model agrees with the movement of water particles on the physical model.

A new agent-based simulation model of bilateral negotiation

2019 ◽  
Vol 31 (1) ◽  
pp. 115-148
Author(s):  
Frieder Lempp
Keyword(s):  
Simulation Model ◽  
Computational Models ◽  
Future Research ◽  
Bilateral Negotiation ◽  
Agent Based Simulation ◽  
Diverse Range ◽  
Content Type ◽  
Agent Based ◽  
Negotiation Strategies ◽  
Negotiation Research

Purpose The purpose of this paper is to introduce a new agent-based simulation model of bilateral negotiation based on a synthesis of established theories and empirical studies of negotiation research. The central units of the model are negotiators who pursue goals, have attributes (trust, assertiveness, cooperativeness, creativity, time, etc.) and perform actions (proposing and accepting offers, exchanging information, creating value, etc). Design/methodology/approach Methodologically, the model follows the agent-based approach to modeling. This approach is chosen because negotiations can be described as complex, non-linear systems involving autonomous agents (i.e. the negotiators), who interact with each other, pursue goals and perform actions aimed at achieving their goals. Findings This paper illustrates how the model can simulate experiments involving variables such as negotiation strategy, creativity, reservation value or time in negotiation. An example simulation is presented which investigates the main and interaction effects of negotiators’ reservation value and their time available for a negotiation. A software implementation of the model is freely accessible at https://tinyurl.com/y7oj6jo8. Research limitations/implications The model, as developed at this point, provides the basis for future research projects. One project could address the representation of emotions and their impact on the process and outcome of negotiations. Another project could extend the model by allowing negotiators to convey false information (i.e. to bluff). Yet another project could be aimed at refining the routines used for making and accepting offers with a view to allow parties to reach partial settlements during a negotiation. Practical implications Due to its broad scope and wide applicability, the model can be used by practitioners and researchers alike. As a decision-support system, the model allows users to simulate negotiation situations and estimate the likelihood of negotiation outcomes. As a research platform, it can generate simulation data in a cost- and time-effective way, allowing researchers to simulate complex, large-N studies at no cost or time. Originality/value The model presented in this paper synthesizes in a novel way a comprehensive range of concepts and theories of current negotiation research. It complements other computational models, in that it can simulate a more diverse range of negotiation strategies (distributive, integrative and compromise) and is applicable to a greater variety of negotiation scenarios.

Acoustic Properties of Infant-Directed Speech

2018 ◽  
pp. 92-116
Author(s):  
Yuanyuan Wang ◽  
Derek M. Houston ◽  
Amanda Seidl
Keyword(s):  
Language Acquisition ◽  
Language Development ◽  
Language Learning ◽  
Acoustic Properties ◽  
Future Research ◽  
Learning Mechanisms ◽  
Complex Process ◽  
Underlying Mechanisms ◽  
Infant Language ◽  
Practical Implications

Language acquisition is a complex process that involves an interaction between learning mechanisms and the input to the child. An important component of infants’ input is infant-directed speech (IDS)—a unique speech register that caregivers use when talking to infants. IDS differs from adult-directed speech (ADS) in a variety of dimensions. This chapter examines empirical research on the acoustic properties of IDS and the role that IDS may play in supporting infant language learning. Taking the discussion of IDS function in language development to the next level, this chapter further discusses the underlying mechanisms of IDS to promote language learning and caregivers’ intentions to use this speech register. Theoretical and practical implications of this body of work are discussed and areas for future research are highlighted.

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