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The broad use of composite materials and shell structural members with complex geometries in technologies related to various branches of engineering has gained increased attention from scientists and engineers for the development of even more refined approaches and investigation of their mechanical behavior. It is well known that composite materials are able to provide higher values of strength stiffness, and thermal properties, together with conferring reduced weight, which can affect the mechanical behavior of beams, plates, and shells, in terms of static response, vibrations, and buckling loads. At the same time, enhanced structures made of composite materials can feature internal length scales and non-local behaviors, with great sensitivity to different staking sequences, ply orientations, agglomeration of nanoparticles, volume fractions of constituents, and porosity levels, among others. In addition to fiber-reinforced composites and laminates, increased attention has been paid in literature to the study of innovative components such as functionally graded materials (FGMs), carbon nanotubes (CNTs), graphene nanoplatelets, and smart constituents. Some examples of smart applications involve large stroke smart actuators, piezoelectric sensors, shape memory alloys, magnetostrictive and electrostrictive materials, as well as auxetic components and angle-tow laminates. These constituents can be included in the lamination schemes of smart structures to control and monitor the vibrational behavior or the static deflection of several composites. The development of advanced theoretical and computational models for composite materials and structures is a subject of active research and this is explored here for different complex systems, including their static, dynamic, and buckling responses; fracture mechanics at different scales; the adhesion, cohesion, and delamination of materials and interfaces.

Technology: general issues --- dynamic stability --- elastomeric foundation --- Eringen’s differential constitutive model --- graphene sheet --- temperature-dependent properties --- basement bottom reinforcement --- reinforcement depth --- Young’s modulus of reinforced soil --- tunnel heave --- numerical analysis --- epistemic uncertainty --- evidence theory --- robust optimization --- sensor design --- near-field earthquake --- fling-step --- far-field --- simultaneous excitation --- special moment frame (SMF) --- advanced model --- precise prediction --- circular foundation pit --- tunnel deformation --- composite --- stochastic --- natural frequency --- uncertainty --- metro constructions --- shield tunnel --- ground settlement --- soil displacement --- analytical --- Mindlin solution --- EELS --- plasmons vibrational modes --- nanoparticles --- nonlocal and size-dependent dielectric --- nanoparticle suspension --- Brownian motion --- spectral thermal pulsing --- DEM simulations --- Nano-device applications --- stratum movements --- mirror source–sink method --- centrifuge modelling test --- transport --- palletized goods --- damage --- bottle --- buckling --- Polyethylene terephthalate (PET) --- n/a --- Eringen's differential constitutive model --- Young's modulus of reinforced soil --- mirror source-sink method

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The broad use of composite materials and shell structural members with complex geometries in technologies related to various branches of engineering has gained increased attention from scientists and engineers for the development of even more refined approaches and investigation of their mechanical behavior. It is well known that composite materials are able to provide higher values of strength stiffness, and thermal properties, together with conferring reduced weight, which can affect the mechanical behavior of beams, plates, and shells, in terms of static response, vibrations, and buckling loads. At the same time, enhanced structures made of composite materials can feature internal length scales and non-local behaviors, with great sensitivity to different staking sequences, ply orientations, agglomeration of nanoparticles, volume fractions of constituents, and porosity levels, among others. In addition to fiber-reinforced composites and laminates, increased attention has been paid in literature to the study of innovative components such as functionally graded materials (FGMs), carbon nanotubes (CNTs), graphene nanoplatelets, and smart constituents. Some examples of smart applications involve large stroke smart actuators, piezoelectric sensors, shape memory alloys, magnetostrictive and electrostrictive materials, as well as auxetic components and angle-tow laminates. These constituents can be included in the lamination schemes of smart structures to control and monitor the vibrational behavior or the static deflection of several composites. The development of advanced theoretical and computational models for composite materials and structures is a subject of active research and this is explored here for different complex systems, including their static, dynamic, and buckling responses; fracture mechanics at different scales; the adhesion, cohesion, and delamination of materials and interfaces.

dynamic stability --- elastomeric foundation --- Eringen’s differential constitutive model --- graphene sheet --- temperature-dependent properties --- basement bottom reinforcement --- reinforcement depth --- Young’s modulus of reinforced soil --- tunnel heave --- numerical analysis --- epistemic uncertainty --- evidence theory --- robust optimization --- sensor design --- near-field earthquake --- fling-step --- far-field --- simultaneous excitation --- special moment frame (SMF) --- advanced model --- precise prediction --- circular foundation pit --- tunnel deformation --- composite --- stochastic --- natural frequency --- uncertainty --- metro constructions --- shield tunnel --- ground settlement --- soil displacement --- analytical --- Mindlin solution --- EELS --- plasmons vibrational modes --- nanoparticles --- nonlocal and size-dependent dielectric --- nanoparticle suspension --- Brownian motion --- spectral thermal pulsing --- DEM simulations --- Nano-device applications --- stratum movements --- mirror source–sink method --- centrifuge modelling test --- transport --- palletized goods --- damage --- bottle --- buckling --- Polyethylene terephthalate (PET) --- n/a --- Eringen's differential constitutive model --- Young's modulus of reinforced soil --- mirror source-sink method

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The book documents 25 papers collected from the Special Issue “Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes”, highlighting recent research trends in complex industrial processes. The book aims to stimulate the research field and be of benefit to readers from both academic institutes and industrial sectors.

process control --- separation --- oil and gas --- control chart --- fuzzy logic --- neutrosophic statistic --- incomplete data --- belief statistic --- gamma distribution --- microalgae --- raceway --- control problem --- PID --- event-based --- flexible flow shop scheduling --- multi-queue limited buffers --- improved compact genetic algorithm --- probability density function of the Gaussian distribution --- transfer bees optimizer --- reinforcement learning --- behavior transfer --- state-action chains --- reactive power optimization --- Holmquist–Johnson–Cook constitutive model of briquette --- parameter acquisition --- split Hopkinson pressure bar experiment --- numerical simulation --- pressure swing distillation --- full-heat integration --- acetonitrile --- water --- distributed model predictive control --- steam power plant --- steam/water loop --- multi-input and multi-output system --- loop design --- optimal nonlinear adaptive control --- memetic salp swarm algorithm --- voltage source converter --- perturbation observer --- hardware experiment --- MIMO temperature control in heating process system --- pole-zero cancelation --- temperature difference --- transient response --- dead time --- slow-mode-based control --- multi-input multi-output (MIMO) temperature system --- temperature differences --- non-pillar --- gob-side entry retaining by roof cutting --- close distance coal seams --- goaf --- stress distribution --- semiconductor bonding equipment-grouping method --- graph theory --- association matrix --- CFSFDP algorithm --- self-learning --- variable geometry turbocharger --- deep reinforcement learning --- deep deterministic policy gradient --- flexible flow shop --- limited buffer --- public buffer --- Hopfield neural network --- local scheduling --- simulated annealing algorithm --- load identification --- EWT --- multiscale fuzzy entropy --- PNN --- Hybrid Attack Graph --- Level-of-Resilience --- stability --- topology --- distributed generation (DG) --- INSGA-II --- multi-objective optimization --- potential crowding distance --- static and dynamic planning --- data-driven methods --- coarse model --- refrigeration --- tunnel boring machine --- roadway supporting --- constitutive model --- failure criterion --- in-situ monitoring --- power systems --- complex network theory --- Fast–Newman algorithm --- link-addition strategy --- cascading failures --- flotation process --- reagent dosage --- time series froth image --- cumulative distribution function --- fault diagnosis --- fault classification --- fast Fourier transform (FFT) --- multi-linear principal component analysis (MPCA) --- uncorrelated multi-linear principal component analysis (UMPCA) --- additive white Gaussian noises (AWGN) --- wind turbine systems --- deviation control --- drilling machine --- nonlinear adaptive backstepping controller disturbance observer --- parameter uncertainties --- wind turbine --- energy conversion systems --- condition monitoring --- fault prognosis --- resilient control --- n/a --- Holmquist-Johnson-Cook constitutive model of briquette --- Fast-Newman algorithm

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The book documents 25 papers collected from the Special Issue “Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes”, highlighting recent research trends in complex industrial processes. The book aims to stimulate the research field and be of benefit to readers from both academic institutes and industrial sectors.

Technology: general issues --- process control --- separation --- oil and gas --- control chart --- fuzzy logic --- neutrosophic statistic --- incomplete data --- belief statistic --- gamma distribution --- microalgae --- raceway --- control problem --- PID --- event-based --- flexible flow shop scheduling --- multi-queue limited buffers --- improved compact genetic algorithm --- probability density function of the Gaussian distribution --- transfer bees optimizer --- reinforcement learning --- behavior transfer --- state-action chains --- reactive power optimization --- Holmquist–Johnson–Cook constitutive model of briquette --- parameter acquisition --- split Hopkinson pressure bar experiment --- numerical simulation --- pressure swing distillation --- full-heat integration --- acetonitrile --- water --- distributed model predictive control --- steam power plant --- steam/water loop --- multi-input and multi-output system --- loop design --- optimal nonlinear adaptive control --- memetic salp swarm algorithm --- voltage source converter --- perturbation observer --- hardware experiment --- MIMO temperature control in heating process system --- pole-zero cancelation --- temperature difference --- transient response --- dead time --- slow-mode-based control --- multi-input multi-output (MIMO) temperature system --- temperature differences --- non-pillar --- gob-side entry retaining by roof cutting --- close distance coal seams --- goaf --- stress distribution --- semiconductor bonding equipment-grouping method --- graph theory --- association matrix --- CFSFDP algorithm --- self-learning --- variable geometry turbocharger --- deep reinforcement learning --- deep deterministic policy gradient --- flexible flow shop --- limited buffer --- public buffer --- Hopfield neural network --- local scheduling --- simulated annealing algorithm --- load identification --- EWT --- multiscale fuzzy entropy --- PNN --- Hybrid Attack Graph --- Level-of-Resilience --- stability --- topology --- distributed generation (DG) --- INSGA-II --- multi-objective optimization --- potential crowding distance --- static and dynamic planning --- data-driven methods --- coarse model --- refrigeration --- tunnel boring machine --- roadway supporting --- constitutive model --- failure criterion --- in-situ monitoring --- power systems --- complex network theory --- Fast–Newman algorithm --- link-addition strategy --- cascading failures --- flotation process --- reagent dosage --- time series froth image --- cumulative distribution function --- fault diagnosis --- fault classification --- fast Fourier transform (FFT) --- multi-linear principal component analysis (MPCA) --- uncorrelated multi-linear principal component analysis (UMPCA) --- additive white Gaussian noises (AWGN) --- wind turbine systems --- deviation control --- drilling machine --- nonlinear adaptive backstepping controller disturbance observer --- parameter uncertainties --- wind turbine --- energy conversion systems --- condition monitoring --- fault prognosis --- resilient control --- n/a --- Holmquist-Johnson-Cook constitutive model of briquette --- Fast-Newman algorithm

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Engineering mathematics is a branch of applied mathematics where mathematical methods and techniques are implemented for solving problems related to the engineering and industry. It also represents a multidisciplinary approach where theoretical and practical aspects are deeply merged with the aim at obtaining optimized solutions. In line with that, the present Special Issue, 'Engineering Mathematics in Ship Design', is focused, in particular, with the use of this sort of engineering science in the design of ships and vessels. Articles are welcome when applied science or computation science in ship design represent the core of the discussion.

Lead-Zirconium-Titanium (PZT) --- n/a --- H.O.M.E.R. nozzle --- finite element --- low-speed Diesel engine --- piezoelectric sensor --- AHP method --- environmental management system --- SPH --- state-of-the-art --- marine transport --- single-stepped planing hulls --- optimisation --- finite element method --- computational fluid dynamic --- slamming --- FSI --- roll motion --- harmonic excitation --- external forces --- towing tank tests --- modelling --- roll damping --- ISO 9126 --- selection --- stiffened plate --- numerical model --- damaged sensor --- CFD --- symmetric 2D + T theory --- hydroelasticity --- ISO 14001 --- water entry --- plate --- constitutive model --- turbulence model --- SHIPMOVE --- impact traction --- fixed pitch propeller --- stiffeners --- numerical simulation --- cavitation --- controllable pitch propeller --- ISO 14598 --- MMG Model --- hydrodynamic forces --- balanced scorecard --- finite volume method --- deflection --- constructal design --- fluid-structure interaction --- MCDM method --- marine industry --- ship design --- fracture mechanics --- coanda effect