#### Abstract
Some interactions may not be captured by the simplifications used in a traditional model. More sophisticated models (nonlinear, multi-dimensional) can be obtained through the application of machine learning (ML), such as neural networks and decision trees. This approach has been applied in several papers dedicated to cutting-edge applications in the field of research [23; 24; 25; 26; 27]. Predictive models are being pushed to include integrated damage mechanics in order to account for the intricate damage evolution during creep, which includes matrix cracking, fiber-matrix interface degradation, and delamination. These models would provide more accurate lifetime and failure forecasts by taking into consideration material degradation over time [28; 29; 30; 31; 32; 33]. Laboratory testing of composites, to verify to what extent the proposed or used models approach the real behavior of the materials, is an extremely important step. For this reason, there are numerous works and proposals for procedures according to which the experiments should be performed [34; 35; 36; 37; 38; 39]. Engineering applications encompass a wide range of environments and conditions in which composite materials are placed. For this reason, it is necessary to know how fiber-reinforced composites respond to very different environmental factors (humidity, UV radiation, temperature, and thermal cycles). Composites are currently used in the aerospace industry, the automotive industry, construction, infrastructure, medical technology, etc. It is also necessary to know the creep-fatigue interaction to cover the wide range of applications of composites [40; 41; 42; 43; 44; 45; 46; 47; 48]. A combination of several disciplines, such as materials science, mechanical engineering, environmental science, and computational modeling, is required. Collaboration between academia, industry, and government institutions is necessary. This can lead to the development of new standards, test methods, and modeling techniques that provide better predictions [49; 50; 51; 52]. Accelerated testing protocols are increasingly being applied to save time during the design and development of a new product. Robotics and advanced automation are increasingly used to perform tests on a large number of specimens, through more efficient collection and analysis of experimental data [53; 54; 55; 56; 57; 58]. Understanding creep in composites is crucial for their design and use in a variety of sectors, particularly those where materials are exposed to continuous pressures over time. Creep is the slow, time-dependent deformation of a material under continuous stress. The analysis of the main results obtained so far shows us the main difficulties and problems encountered in the study of the creep behavior of fiber-reinforced composite materials. Some of the difficulties encountered by researchers in the presented literature are listed below:  
* Complex constitutive models are necessary because of the profound heterogeneity of the composite materials, where the phases (fiber and matrix) have very different mechanical and physical properties, with complex interactions and parameters varying in time. The distribution of the materials in composites can be non-uniform, and the materials can be nonlinear and can exhibit both elastic and plastic deformation over time. As a consequence, it is necessary to use anisotropic and viscoelastic/viscoplastic models to obtain an accurate creep prediction. * Interfacial behavior plays an important role in creep behavior. The creep performance is greatly impacted by delamination or microcracking, which can result from a weak or weakly bonded surface. The stress transfer between fibers and matrix can be strongly influenced by the nature and quality of these interactions. * Damage behavior remains one of the problems that arise in the study of creep evolution, which includes microcracking and delamination (microscopic cracks and delamination in the materials can accelerate the creep process).