Application of Response Sensitivity in Composite Processing

Bebamzadeh, Armin; Haukaas, Terje; Vaziri, Reza; Poursartip, Anoush; Fernlund, G.

doi:10.1177/0021998310366062

Cited by 10 publications

(10 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is seen that the E (activation energy) had the highest correlation coefficient (negative) and the magnitude was close to 1 ( r p = 0.964), indicating that E was strongly correlated (i.e., inversely proportional) with the CDOCE. This agrees with a similar observation obtained in [18] for the RTM process, where the effect of the variation in E on the maximum and minimum cure degree was found to be significant. The corresponding sensitivities are depicted as a pie chart in Figure 6.…”

Section: Casesupporting

confidence: 92%

“…In general, the statistical characteristics are obtained from extensive data collection and data analysis. In the present study, the mean values of the RIPs were taken from the deterministic analysis and the standard deviations were estimated based on engineering intuition and common available data from the literature [18,30] . The first three RIPs (process parameters) are more controllable than the material properties, i.e., RIPs between 4 and 10 (Table 1), and hence, the COV s of the first three RIPs selected were lower than the COV s of the RIPs between 4 and 10.…”

Section: Description Of the Probabilistic Modelmentioning

confidence: 99%

“…In [17] , the probability of process-induced deformations of a composite part exceeding a specified allowable tolerance was calculated by using the first-order reliability method (FORM) integrated with a deterministic modeling tool, which simulates the various physical phenomena during processing of composite structures. In [18] , the sensitivities and the probabilities of the maximum and minimum process temperatures and the cure degree were investigated for the prescribed random input variables by implementing a gradient-based reliability analysis, i.e., FORM. Following the sensitivity analysis, an efficient two-level reliability-based design optimization approach was performed in order to minimize the cure cycle time and associated manufacturing cost for an RTM-kind process.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Probabilistic analysis of a thermosetting pultrusion process

Baran

Tutum

Hattel

2014

Science and Engineering of Composite Materials

View full text Add to dashboard Cite

In the present study, the effects of uncertainties in the material properties of the processing composite material and the resin kinetic parameters, as well as process parameters such as pulling speed and inlet temperature, on product quality (exit degree of cure) are investigated for a pultrusion process. A new application for the probabilistic analysis of the pultrusion process is introduced using the response surface method (RSM). The results obtained from the RSM are validated by employing the Monte Carlo simulation (MCS) with Latin hypercube sampling technique. According to the results obtained from both methods, the variations in the activation energy as well as the density of the resin are found to have a relatively stronger influence on the centerline degree of cure at the exit. Moreover, different execution strategies are examined for the MCS to investigate their effects on the accuracy of the random output parameter.

show abstract

Section: Casesupporting

confidence: 92%

Section: Description Of the Probabilistic Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Probabilistic analysis of a thermosetting pultrusion process

Baran

Tutum

Hattel

2014

Science and Engineering of Composite Materials

View full text Add to dashboard Cite

show abstract

“…Analytical approaches to DDM sensitivity analysis for structural response under mechanical loads have been well developed (Kleiber et al 1997) and extended to material and geometric nonlinear formulations of frame-element response (Scott et al 2004;Conte et al 2004) as well as frame-element geometry and cross-section dimensions (Haukaas and Scott 2006;Scott and Filippou 2007). The DDM has also been applied to composites processing (Bebamzadeh et al 2010) and fire attack on structures (Guo and Jeffers 2014); however, its application to FSI has not been addressed. This is partly due to the complexity of the computation for the FSI response and the cumbersome nature of staggered computational approaches.…”

Section: Introductionmentioning

confidence: 99%

Direct Differentiation of the Particle Finite-Element Method for Fluid–Structure Interaction

Zhu

Scott

2016

J. Struct. Eng.

View full text Add to dashboard Cite

Sensitivity analysis of fluid-structure interaction (FSI) provides an important tool for assessing the reliability and performance of coastal infrastructure subjected to storm and tsunami hazards. As a preliminary step for gradient-based applications in reliability, optimization, system identification, and performance-based engineering of coastal infrastructure, the direct differentiation method (DDM) is applied to FSI simulations using the particle finite-element method (PFEM). The DDM computes derivatives of FSI response with respect to uncertain design and modeling parameters of the structural and fluid domains that are solved in a monolithic system via the PFEM. Geometric nonlinearity of the free surface fluid flow is considered in the governing equations of the DDM along with sensitivity of material and geometric nonlinear response in the structural domain. The analytical derivatives of elemental matrices and vectors with respect to element properties are evaluated and implemented in an open source finite element software framework. Examples involving both hydrostatic and hydrodynamic loading show that the sensitivity of nodal displacements, pressures, and forces computed by the finite-difference method (FDM) converge to the DDM for simple beam models as well as for a reinforced-concrete frame structure.

show abstract

“…Note that macrolevel residual stresses, self-equilibrated in a macro domain were considered repeatedly. In this connection, see the series of works by Banks-Sills et al (1997− 2006 also see references therein) and Bebamzadeh et al (2009Bebamzadeh et al ( , 2010), where the role of curing residual stresses in the fracture of composites is examined. Such residual stresses manifest themselves as an additional load on the cracked body.…”

Section: Introductionmentioning

confidence: 99%

Brittle fracture in a periodic structure with internal potential energy

Mishuris

Slepyan

2014

Proc. R. Soc. A.

View full text Add to dashboard Cite

We consider a brittle fracture taking account of selfequilibrated distributed stresses existing at microlevel in the absence of external forces. To determine how the latter can affect the crack equilibrium and growth, a model of a structured linearly elastic body is introduced, consisting of two equal symmetrically arranged layers (or half-planes) connected by an interface as a prospective crack path. The interface comprises a discrete set of elastic bonds. In the initial state, the bonds are assumed to be stressed in such a way that tensile and compressive forces of the same value alternate. In the general considerations, the layers are assumed to be of an unspecified periodic structure, where such self-equilibrated stresses may also exist. A two-line chain and a lattice are examined as the specified structure. We consider the states of the body-with-a-crack under such microlevel stresses (MS) and under a combined action of the remote forces and MS. Analytical solutions to the considered problems are presented based on the introduction of a selective discrete transform. We demonstrate that MS can increase as well as decrease the crack resistance depending on the internal energy level. We also discuss different scenarios of the crack growth.

show abstract

Application of Response Sensitivity in Composite Processing

Cited by 10 publications

References 33 publications

Probabilistic analysis of a thermosetting pultrusion process

Probabilistic analysis of a thermosetting pultrusion process

Direct Differentiation of the Particle Finite-Element Method for Fluid–Structure Interaction

Brittle fracture in a periodic structure with internal potential energy

Contact Info

Product

Resources

About