APPLICATION OF NEW INFORMATION TECHNOLOGY ON CONCRETE: AN OVERVIEW / NAUJŲ INFORMACINIŲ TECHNOLOGIJŲ NAUDOJIMAS RUOŠIANT BETONĄ. APŽVALGA
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The development of information technology provides means for quick access to a wide variety of information and methods of modelling complex systems. Simulation models, databases, decision support systems and artificial intelligence have currently become more accessible. Advances of these techniques continue to impact highly on civil engineering. The aim of this paper is to present recent developments in information technology and their influence on concrete technology. A historical perspective on researches and a review of the application of artificial intelligence techniques on concrete are presented. Development of computer integrated knowledge systems, approach of virtual systems and soft- ware for concrete mix design are also discussed. These systems have greatly affected handling tasks in civil engineering design over the past decade and promise to have revolutionary impacts on the nature of the design tasks in the future. They are considered useful and powerful tools which are able to solve complex problems and represent a scientific challenge in concrete technology. Santrauka Vystantis informacinems technologijoms, atsiranda galimybiuų greitai gauti iųvairiausios informacijos ir metoduų, kaip modeliuoti sudėtingas sistemas. Pastaruoju metu paplito imitaciniai modeliai, duomenuų bazės, sprendimuų paramos sistemos ir dirbtinis intelektas. Šiuų metodikuų pažanga statybuų sektoriui ir toliau daro didžiule˛ iųtaka˛. Šiame darbe siekiama pristatyti informaciniuų technologijuų naujienas ir juų iųtaka˛ betono technologijoms. Apžvelgiami ankstesni tyrimai ir dirbtinio intelekto metoduų taikymas ruošiant betona˛. Be to, aptariamas integruotuų kompiuteriniuų žiniuų sistemuų vystymas, virtualiuų sistemuų naudojimas ir programinė iųranga betono mišiniams kurti. Per pastarajių dešimtmetių šios sistemos padarė nemenka˛ iųtaka˛ tam, kaip atliekamos inžinerinio projektavimo užduotys, ir turėtuų paskatinti projektavimo užduoČiuų perversma ateityje. Jos – naudingi ir galingi iųrankiai, leidžiantys spre˛sti sudėtingas problemas, tai mokslinis iššūkis betono technologijuų srityje.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it