Bph773
发表于 2025-3-23 11:42:06
Transport Properties of a Fibre-layer Composite MaterialWe study a composite material of the fibre - layer type by combination of the method of symmetry and the method of functional equations. Approximate analytical formulae are deduced for the effective conductivity tensor.
精美食品
发表于 2025-3-23 16:33:40
http://reply.papertrans.cn/47/4606/460595/460595_12.png
铁塔等
发表于 2025-3-23 20:48:56
http://reply.papertrans.cn/47/4606/460595/460595_13.png
俗艳
发表于 2025-3-24 00:00:34
http://reply.papertrans.cn/47/4606/460595/460595_14.png
Infiltrate
发表于 2025-3-24 03:35:15
http://reply.papertrans.cn/47/4606/460595/460595_15.png
间接
发表于 2025-3-24 07:32:13
Energy Flux in Elasticity and Electromagnetisms are presented for systems which are linear, conservative, and for which the energy flux vector and energy density involve products of pairs of field quantities. Specific new results are given in the case of linear anisotropic elasticity and electromagnetism. Finite-amplitude plane waves in Mooney-Rivlin elastic materials are also considered.
BUMP
发表于 2025-3-24 12:00:05
http://reply.papertrans.cn/47/4606/460595/460595_17.png
Pituitary-Gland
发表于 2025-3-24 15:49:43
Laplace Transform Methods and the Rayleigh Identity for an Array of Elliptical Cylindersansform can be used to obtain rapidly convergent representations for both the field expansions and the static lattice sums. Furthermore, these representations can be used to derive interesting analytic results involving the elliptic analogue of Rayleigh’s famous conditionally convergent dipole sum.
仪式
发表于 2025-3-24 21:02:56
and consistent training sessions for learners. The AI-VT training sessions propose different exercises in regard to a capacity associated with sub-capacities. For example, in the field of training for algorithms, a capacity could be “Use a control structure alternative” and an associated sub-capacit
无能性
发表于 2025-3-25 02:25:21
ive is bypassing model building by applying case-based prediction to reason directly from data. However, to our knowledge case-based prediction still has not been applied at true industrial scale. In previous work we introduced a knowledge-light/data intensive approach to case-based prediction, usin